Dynamically aggregating diverse information
WebSep 12, 2024 · Quantifying Uncertainty: Stochastic, Adversarial, and Beyond Dynamically Aggregating Diverse Information Abstract An agent has access to multiple information sources, each modeled as a Brownian motion whose drift provides information about a different component of an unknown Gaussian state. Web"Dynamically Aggregating Diverse Information," Papers 1910.07015, arXiv.org, revised Apr 2024. Annie Liang & Xiaosheng Mu & Vasilis Syrgkanis, 2024. "Optimal and Myopic Information Acquisition," Working Papers 2024-25, …
Dynamically aggregating diverse information
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Weboptimal stopping time and information acquisition strategy jointly in this problem optimal information acquisition is independent of when the decision-maker stops. We make use of this implication in Section5.1to derive new results about the optimal stopping behavior in a binary choice problem. Webtitle = "Dynamically Aggregating Diverse Information", abstract = "An agent has access to multiple information sources, each modeled as a Brownian motion whose drift provides information about a different component of an unknown Gaussian state.
WebOct 15, 2024 · Abstract: An agent has access to multiple information sources, each of which provides information about a different attribute of an unknown state. Information is acquired continuously -- where the agent chooses both which sources to sample from, and also how to allocate attention across them -- until an endogenously chosen time, at … WebJul 18, 2024 · Request PDF On Jul 18, 2024, Annie Liang and others published Dynamically Aggregating Diverse Information Find, read and cite all the research you need on ResearchGate
WebAnnie Liang (Northwestern University): Dynamically Aggregating Diverse Information (with Xiaosheng Mu and Vasilis Syrgkanis) WebPaper presentation at the 22nd ACM Conference on Economics and Computation (EC'21), Virtual Conference, July 20, 2024:Title: Dynamically Aggregating Diverse ...
WebJan 1, 2024 · We demonstrate conditions on the agent's prior belief under which it is possible to exactly characterize the optimal information acquisition strategy. We then apply this characterization to derive new results regarding: (1) endogenous information acquisition for binary choice, (2) the dynamic consequences of attention manipulation, …
WebIncreasingly, machine learning methods have been applied to aid in diagnosis with good results. However, some complex models can confuse physicians because they are difficult to understand, while data differences across diagnostic tasks and institutions can cause model performance fluctuations. To address this challenge, we combined the Deep … incheon hikingWebJan 26, 2024 · We demonstrate conditions on the agent's prior belief under which it is possible to exactly characterize the optimal information acquisition strategy. We then apply this characterization to derive new results regarding: (1) endogenous information acquisition for binary choice, (2) the dynamic consequences of attention manipulation, … income top 1% usaWebtitle = "Dynamically Aggregating Diverse Information", abstract = "An agent has access to multiple information sources, each modeled as a Brownian motion whose drift provides information about a different component of an unknown Gaussian state. income tracing rulesWebDive into the research topics of 'Dynamically Aggregating Diverse Information'. Together they form a unique fingerprint. Information Economics, Econometrics and Finance information INIS Acquisitions Economics, Econometrics and Finance Levy Process Economics, Econometrics and Finance Beliefs Economics, Econometrics and Finance … incheon home decorWebIn this work, we present a simple model for dynamic aggregation of information given limited resources. Formally, a decision-maker (e.g., the management at the hotel chain) has access to various data sources,eachmodeledasaBrownianmotionwhosedriftisanunknown attribute that the data source provides information about (e.g., tourism travel, business incheon hay inchonWebThis paper is now forthcoming at Econometrica. Abstract An agent has access to multiple information sources, each modeled as a Brownian motion whose drift provides information about a different component of an unknown Gaussian state. Information is acquired continuously—where the agent chooses both which sources to sample from, and also … incheon historyWebDynamically Aggregating Diverse Information Author(s) Annie Liang Annie Liang (Northwestern University) ... Information is acquired continuously—where the agent chooses both which sources to sample from, and also how to allocate attention across them—until an endogenously chosen time, at which point a decision is taken. ... incheon harbor