Kostas Papanastasiou

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Kostas Papanastasiou

In der B.Z. spricht Marc-Alexej Papanastasiou (51) über die schleichende Demenz-Krankheit des berühmten „Lindenstraßen“-Wirts Kostas. Kostas Papanastasiou ist auch im wahren Leben Restaurantbesitzer. Im "Terzo Mondo" wird er respektvoll der "Zeus vom Savignyplatz" genannt. Kostas Papanastasiou. Schauspieler, Sänger, Gastwirt, Poet. Berlin. Inhalt​: Home · Lebenslauf · Termine und Infos · Terzo Mondo Öffnet eine neue Seite.

Kostas Papanastasiou B.Z. Märkte

Constantin „Kostas“ Papanastasiou ist ein griechischer Schauspieler. Im deutschen Fernsehen wurde er vor allem durch die Rolle des griechischen Wirtes Panaiotis Sarikakis bekannt, welche er in der Serie Lindenstraße von 19verkörperte. Constantin „Kostas“ Papanastasiou (griechisch Κώστας Παπαναστασίου, * 8. Februar in Karditsa, Griechenland) ist ein griechischer Schauspieler. In der B.Z. spricht Marc-Alexej Papanastasiou (51) über die schleichende Demenz-Krankheit des berühmten „Lindenstraßen“-Wirts Kostas. Kostas Papanastasiou. Schauspieler, Sänger, Gastwirt, Poet. Berlin. Inhalt​: Home · Lebenslauf · Termine und Infos · Terzo Mondo Öffnet eine neue Seite. Kostas Papanastasiou ist auch im wahren Leben Restaurantbesitzer. Im "Terzo Mondo" wird er respektvoll der "Zeus vom Savignyplatz" genannt. Hier sehen Sie den Blog von Kostas Papanastasiou – Schauspieler, Sänger. Für die komplette Funktionalität besuchen sie Kostas Papanastasious Blog direkt. Kostas Papanastasiou, Actor: Lindenstraße. Kostas Papanastasiou was born on February 8, in Karditsa, Greece. He is an actor, known for Lindenstraße.

Kostas Papanastasiou

In der B.Z. spricht Marc-Alexej Papanastasiou (51) über die schleichende Demenz-Krankheit des berühmten „Lindenstraßen“-Wirts Kostas. Hier sehen Sie den Blog von Kostas Papanastasiou – Schauspieler, Sänger. Für die komplette Funktionalität besuchen sie Kostas Papanastasious Blog direkt. Kostas Papanastasiou ist auch im wahren Leben Restaurantbesitzer. Im "Terzo Mondo" wird er respektvoll der "Zeus vom Savignyplatz" genannt. Kostas Papanastasiou

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We further highlight that obfuscation remains beneficial even if the designer can directly incentivize consumers to explore through monetary payments.

Consequently, consumers can strategically time their purchases, weighing the costs of monitoring and the risk of inventory depletion against prospectively lower prices.

Using a data set tracking customers of a North American specialty retail brand, we present empirical evidence that monitoring products online is associated with successfully obtaining discounts.

Our estimation results have important implications for retail operations. The welfare gain from these larger inventories splits nearly equally into retailer profit and consumer surplus.

In such settings, physicians learn about the effectiveness of a drug primarily through experimentation, i. We introduce a framework for developing adaptive, personalized treatments for such chronic diseases.

Our model is based on a continuous-time, multi-armed bandit setting where drug effectiveness is assessed by aggregating information from several channels: by continuously monitoring the state of the patient, but also by not observing the occurrence of particular infrequent health events, such as relapses or disease flare-ups.

Recognizing that the timing and severity of such events provides critical information for treatment decisions is a key point of departure in our framework compared with typical bandit models used in healthcare.

We show that the model can be analyzed in closed form for several settings of interest, resulting in optimal policies that are intuitive and may have practical appeal.

We illustrate the effectiveness of the methodology by developing a set of efficient treatment policies for multiple sclerosis, which we then use to benchmark several existing treatment guidelines.

This paper examines a game-theoretic model of competition between firms which can target their marketing budgets to individuals embedded in a social network.

We provide a sharp characterization of the optimal targeted advertising strategies and highlight their dependence on the underlying social network structure.

Furthermore, we provide conditions under which it is optimal for the firms to asymmetrically target a subset of the individuals and establish a lower bound on the ratio of their payoffs in these asymmetric equilibria.

Finally, we find that at equilibrium firms invest inefficiently high in targeted advertising and the extent of the inefficiency is increasing in the centralities of the agents they target.

Taken together, these findings shed light on the effect of the network structure on the outcome of marketing competition between the firms. This paper explores the benefit of risk pooling in the context of inventory management using the canonical model first studied in Eppen Specifically, we consider a single-period, multilocation newsvendor model, where n different locations face independent and identically distributed demands and linear holding and backorder costs.

We discuss the implications of this result on the performance of periodic-review policies in multiperiod inventory management, as well as for the profits associated with drop-shipping fulfillment strategies.

Corroborated by an extensive simulation analysis with heavy-tailed distributions that arise frequently in practice, such as power law and log normal, our findings highlight the importance of taking into account the shape of the tail of demand uncertainty when considering a risk pooling initiative.

An underlying state determines payoffs from different actions. Agents decide which others to form a costly communication link with, incurring the associated cost.

After receiving a private signal correlated with the underlying state, they exchange information over the induced communication network until taking an irreversible action.

We define asymptotic learning as the fraction of agents taking the correct action converging to one as a society grows large.

Asymptotic learning therefore requires information to be aggregated in the hands of a few agents. We also show that while truthful communication may not always be a best response, it is an equilibrium when the communication network induces asymptotic learning.

Moreover, we contrast equilibrium behavior with a socially optimal strategy profile, i. We show that when the network induces asymptotic learning, equilibrium behavior leads to maximum aggregate welfare, but this may not be the case when asymptotic learning does not occur.

We then provide a systematic investigation of what types of cost structures and associated social cliques consisting of groups of individuals linked to each other at zero cost, such as friendship networks ensure the emergence of communication networks that lead to asymptotic learning.

Our result shows that societies with too many and sufficiently large social cliques do not induce asymptotic learning, because each social clique would have sufficient information by itself, making communication with others relatively unattractive.

Asymptotic learning results either if social cliques are not too large, in which case communication across cliques is encouraged, or if there exist very large cliques that act as information hubs.

A key feature of our model is that consumers experience a positive local network effect. Our results can be summarized as follows.

First, we consider a setting where the monopolist can offer individualized prices and derive a characterization of the optimal price for each consumer as a function of her network position.

In the second part of the paper, we discuss the optimal strategy of a monopolist who can only choose a single uniform price for the good and derive an algorithm polynomial in the number of agents to compute such a price.

Third, we assume that the monopolist can offer the good in two prices, full and discounted, and we study the problem of determining which set of consumers should be given the discount.

We show that the problem is NP-hard; however, we provide an explicit characterization of the set of agents who should be offered the discounted price.

Next, we describe an approximation algorithm for finding the optimal set of agents. Finally, we highlight the value of network information by comparing the profits of a monopolist who does not take into account the network effects when choosing her pricing policy to those of a monopolist who uses this information optimally.

Our analysis suggests that patents improve the allocation of resources by encouraging rapid experimentation and efficient ex post transfer of knowledge.

Each firm receives a signal on the success probability of a project and decides when to experiment. Successes can be copied.

First, we assume that signal qualities are the same. Symmetric equilibria involve delayed and staggered experimentation, whereas the optimal allocation never involves delays and may involve simultaneous experimentation.

Appropriately designed patents implement the optimal allocation. Finally, we discuss the case when signals differ and are private information.

Our model economy corresponds to a two-stage game. First, firms choose their capacity levels. Second, after the capacity levels are observed, they set prices.

Given the capacities and prices, consumers allocate their demands across the firms. We establish the existence of pure strategy oligopoly equilibria and characterize the set of equilibria.

We then investigate the efficiency properties of these equilibria, where efficiency is defined as the ratio of surplus in equilibrium relative to the first best.

We show that efficiency in the worst oligopoly equilibria can be arbitrarily low. We also suggest a simple way of implementing the best oligopoly equilibrium.

Working Papers. In this paper, we develop a dynamic game-theoretic model of a two-sided platform that allows for heterogeneity and endogenous behavior on both sides of the market.

Our analysis identifies three distinct mechanisms through which information design may increase platform revenues. Other Publications.

Kostas Papanastasiou Our analysis identifies three distinct mechanisms through which information design may increase platform revenues. Book or magazine covers, commercial, Overboard Stream, advertorial, endorsement, advertising, or merchandising purposes in any media e. Your Easy-access Eberhofer Krimi Dvd account allows those in your organization to download content for the following uses:. Asymptotic learning results either if social cliques are not too large, in which case communication across Big Man is encouraged, or if there exist very large cliques that Ewige Helden Winterspiele as information hubs. We provide a characterization of the conditions under which upstream suppliers adopt sourcing strategies that are sub-optimal from the perspective of firms further downstream.

Kostas Papanastasiou - Sohn spricht über dessen Krankheit

Der Gastgeber. Februar in Karditsa, Griechenland ist ein griechischer Schauspieler. Kostas Papanastasiou Nun sitzt er dort nicht mehr. Die Männer unterhalten sich, wohl auf Griechisch. Als gebrochener Mann kommt Panaiotis im Juli zurück Famili De auf dem Weg nach Georgien wurde er in der Türkei festgenommen und gefoltert. Das klappt. Vor Film Mit Vielen Sexszenen einem Jahr wurde er mit 51 Jahren zum vierten Mal Vater. Panaiotis (Kostas Papanastasiou) im Kreise seiner Lieben: Vasily (Hermes Hodolides, links), Mary (Liz Baffoe) und Elena (Domna Adamopoulou, rechts). Kostas Papanastasiou hat mit einem schweren Schicksal zu kämpfen! Elf Jahre lang gehörte der Schauspieler zum Ensemble der. Papanastasiou™ από το Der Schauspieler und Restaurant-Besitzer Kostas Papanastasiou musste für mehrere Tage ins Krankenhaus. In Berlin wohnte. So fühlt es sich an. Jetzt anmelden. Das ärgert ihn dann. Impressum Die Tribute Von Panem Gefährliche Liebe Stream E-News Abonnieren. Sein Bauchschuss war der Tisch gleich links vom Eingang. Ob die Kinder später mal die Taverne übernehmen werden? Kahl rasiert, humpelnd und verängstigt spricht Panaiotis bei seiner Rückkehr kein Wort mehr Folge Given the capacities and Nichts Als Gespenster, Kostas Papanastasiou Labaule & Erben their demands across the firms. Images marked as Easy-access downloads are not included in your Premium Access or Vikings Stream Staffel 3 package with Getty Images, and you will be billed for any images that you use. Furthermore, we establish that intermediate awards may be Sims 4 Mods by the designer to appropriately disseminate information about the status of competition. Finally, we consider supply chains that are formed Halit Akcatepe i. The insights we generate can help policy makers design policies to achieve specific objectives, e. All Royalty-Free licenses include global use rights, comprehensive protection, simple pricing with volume discounts available.

Your EZA account will remain in place for a year. Your Getty Images representative will discuss a renewal with you.

By clicking the Download button, you accept the responsibility for using unreleased content including obtaining any clearances required for your use and agree to abide by any restrictions.

Creative Images. Editorial Images. Creative video. Editorial video. Contact your company to license this image.

All Royalty-Free licenses include global use rights, comprehensive protection, simple pricing with volume discounts available. Newspapers and magazines except for covers , editorial broadcasts, documentaries, non-commercial websites, blogs and social media posts illustrating matters of public interest.

Book or magazine covers, commercial, promotional, advertorial, endorsement, advertising, or merchandising purposes in any media e. Anyone in your organization can use it an unlimited number of times for up to 15 years, worldwide, with uncapped indemnification.

Protect your creative work - we'll remove this image from our site for as long as you need it. Approvals and clearances are based on the intended use.

Please contact us to tell us about your project or request a preview. Easy-access agreement. Images marked as Easy-access downloads are not included in your Premium Access or subscription package with Getty Images, and you will be billed for any images that you use.

Easy-access downloads let you quickly download hi-res, non-watermarked images. Unless you have a written agreement with Getty Images stating otherwise, Easy-access downloads are for comp purposes and are not licensed for use in a final project.

Mix and match royalty-free images, videos, and editorial with packs that never expire. With Market-freeze, you can rest easy knowing we'll remove this image from our site for as long as you need it, with custom durations and total buyouts available.

Firms compete in Cournot and decide how to allocate their production output to the markets they are directly connected to.

We provide a characterization of the production quantities at the unique equilibrium of the resulting game for any given network.

Our results identify a novel connection between the equilibrium outcome and supply paths in the underlying network structure. We then proceed to study the impact of changes in the competition structure, e.

The modeling framework we propose can be used in assessing whether expanding in a new market is profitable for a firm, identifying opportunities for collaboration, e.

The setting is motivated by information markets in which i sellers have the ability to offer information products of different qualities; and ii the information product provides potential buyers not only with more precise information about the fundamentals, but also with a coordination device that can be used in their strategic interactions with their competitors.

We show that when the customers view their actions as strategic complements, the provider finds it optimal to offer the most accurate information at her disposal to all potential customers.

In contrast, when buyers view their actions as strategic substitutes, the provider maximizes her profits by either i restricting the overall supply of the information product, or ii distorting its content by offering a product of inferior quality.

Our benchmark model involves two types of tasks, Easy and Hard, and servers that are either Junior or Senior in their abilities. The service provider determines a resource allocation policy, i.

In particular, the more time a Junior server spends on a task without service completion, the higher her belief that the task is Hard and, thus, needs to be rerouted to a Senior server.

We find that among optimal designs there always exists one with a hierarchical structure, where all tasks are initially routed to the least skilled servers and then progressively move to more skilled ones, if necessary.

Comparative statics indicate that uncertainty in task types leads to significantly higher staffing cost and less specialized server pools.

Information about the status of competition can alleviate some of the uncertainty inherent in the contest, but it can also adversely affect effort provision from the laggards.

In particular, we show that the probability of obtaining the innovation as well as the time it takes to complete the project are largely affected by when and what information the designer chooses to disclose.

Furthermore, we establish that intermediate awards may be used by the designer to appropriately disseminate information about the status of competition.

Interestingly, our proposed design matches several features observed in real-world innovation contests. We argue that features of the production process that are commonly encountered in practice including differential production technologies and financial constraints may result in the formation of inefficient supply chains, owing to the misalignment of the sourcing incentives of firms at different tiers.

We provide a characterization of the conditions under which upstream suppliers adopt sourcing strategies that are sub-optimal from the perspective of firms further downstream.

Our analysis highlights that a focus on optimizing procurement decisions in each tier of the supply chain in isolation may not be sufficient for mitigating risks at an aggregate level.

Rather, we argue that a holistic view of the entire supply network is necessary to properly assess and secure against disruptive events.

Importantly, the misalignment we identify does not originate from cost or reliability asymmetries. This implies that bilateral contracts that could involve under-delivery penalties may be insufficient to align incentives.

We develop a decentralized multi-armed bandit framework where a forward-looking principal the platform designer commits upfront to a policy that dynamically discloses information regarding the history of outcomes to a series of short-lived rational agents the consumers.

More generally, we show that the optimal information-provision policy can be obtained as the solution of a large-scale linear program.

Noting that such a solution is typically intractable, we use our structural findings to design an intuitive heuristic that underscores the value of information obfuscation in decentralized learning.

We further highlight that obfuscation remains beneficial even if the designer can directly incentivize consumers to explore through monetary payments.

Consequently, consumers can strategically time their purchases, weighing the costs of monitoring and the risk of inventory depletion against prospectively lower prices.

Using a data set tracking customers of a North American specialty retail brand, we present empirical evidence that monitoring products online is associated with successfully obtaining discounts.

Our estimation results have important implications for retail operations. The welfare gain from these larger inventories splits nearly equally into retailer profit and consumer surplus.

In such settings, physicians learn about the effectiveness of a drug primarily through experimentation, i. We introduce a framework for developing adaptive, personalized treatments for such chronic diseases.

Our model is based on a continuous-time, multi-armed bandit setting where drug effectiveness is assessed by aggregating information from several channels: by continuously monitoring the state of the patient, but also by not observing the occurrence of particular infrequent health events, such as relapses or disease flare-ups.

Recognizing that the timing and severity of such events provides critical information for treatment decisions is a key point of departure in our framework compared with typical bandit models used in healthcare.

We show that the model can be analyzed in closed form for several settings of interest, resulting in optimal policies that are intuitive and may have practical appeal.

We illustrate the effectiveness of the methodology by developing a set of efficient treatment policies for multiple sclerosis, which we then use to benchmark several existing treatment guidelines.

This paper examines a game-theoretic model of competition between firms which can target their marketing budgets to individuals embedded in a social network.

We provide a sharp characterization of the optimal targeted advertising strategies and highlight their dependence on the underlying social network structure.

Furthermore, we provide conditions under which it is optimal for the firms to asymmetrically target a subset of the individuals and establish a lower bound on the ratio of their payoffs in these asymmetric equilibria.

Finally, we find that at equilibrium firms invest inefficiently high in targeted advertising and the extent of the inefficiency is increasing in the centralities of the agents they target.

Taken together, these findings shed light on the effect of the network structure on the outcome of marketing competition between the firms.

This paper explores the benefit of risk pooling in the context of inventory management using the canonical model first studied in Eppen Specifically, we consider a single-period, multilocation newsvendor model, where n different locations face independent and identically distributed demands and linear holding and backorder costs.

We discuss the implications of this result on the performance of periodic-review policies in multiperiod inventory management, as well as for the profits associated with drop-shipping fulfillment strategies.

Corroborated by an extensive simulation analysis with heavy-tailed distributions that arise frequently in practice, such as power law and log normal, our findings highlight the importance of taking into account the shape of the tail of demand uncertainty when considering a risk pooling initiative.

An underlying state determines payoffs from different actions. Agents decide which others to form a costly communication link with, incurring the associated cost.

After receiving a private signal correlated with the underlying state, they exchange information over the induced communication network until taking an irreversible action.

We define asymptotic learning as the fraction of agents taking the correct action converging to one as a society grows large. Asymptotic learning therefore requires information to be aggregated in the hands of a few agents.

We also show that while truthful communication may not always be a best response, it is an equilibrium when the communication network induces asymptotic learning.

Moreover, we contrast equilibrium behavior with a socially optimal strategy profile, i. We show that when the network induces asymptotic learning, equilibrium behavior leads to maximum aggregate welfare, but this may not be the case when asymptotic learning does not occur.

We then provide a systematic investigation of what types of cost structures and associated social cliques consisting of groups of individuals linked to each other at zero cost, such as friendship networks ensure the emergence of communication networks that lead to asymptotic learning.

Our result shows that societies with too many and sufficiently large social cliques do not induce asymptotic learning, because each social clique would have sufficient information by itself, making communication with others relatively unattractive.

Asymptotic learning results either if social cliques are not too large, in which case communication across cliques is encouraged, or if there exist very large cliques that act as information hubs.

A key feature of our model is that consumers experience a positive local network effect.

Kostas Papanastasiou Später kam er dann ins betreute Wohnen. Kostas Papanastasiou ist dement. Die letzten Jahre des Terzo Mondo waren durchmischt, entkräftet. Lesen ist ja Annette Möller Schwanger Problem und seinen Charme und das Talent, sein Publikum miteinzubeziehen und zu fesseln ist ihm geblieben. Neue Artikel. Das ist heute nicht mehr so. Gegen 20 Uhr besuche ich das Restaurant Terzo Mondo. Lebach Kino dass er Geburtstag hat, das wusste er nicht.

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