Results 71 to 80 of about 3,605,404 (198)
Sequential Matching Estimation of Dynamic Causal Models [PDF]
This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic casual effects. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal analysis that have ...
Michael Lechner
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IEEE Access, 2019 The use of infrared (IR) decoys as a countermeasure has become a significant and important factor that influences the performance of heat-seeking missiles.
Shaoyi Li +3 more
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Probability matching in choice under uncertainty: Intuition versus deliberation
, 2009 Gaissmaier and Schooler (2008) [Gaissmaier, W., & Schooler, L. J. (2008). The smart potential behind probability matching. Cognition, 109, 416-422] argue that probability matching, which has traditionally been viewed as a decision making error, may ...
James, Greta +3 more
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A Frequency Matching Method: Solving Inverse Problems by Use of Geologically Realistic Prior Information [PDF]
, 2012 The frequency matching method defines a closed form expression for a complex prior that quantifies the higher order statistics of a proposed solution model to an inverse problem. While existing solution methods to inverse problems are capable of sampling
Knud Skou Cordua +17 more
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Data-dependent probability matching priors for empirical and related likelihoods
, 2008 Published in at http://dx.doi.org/10.1214/074921708000000057 the IMS Collections (http://www.imstat.org/publications/imscollections.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
openaire +3 more sources
Probability Matching Priors for Non-regular Cases
, 2007 this paper, we consider the approach of matching. The notion of matching, which first appeared in Welch & Peers (1963), may be thought of as an attempt of reconciliation of the two different schools (Peers, 1965), or as a validation of a non ...
Subhashis Ghosal
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Plasma profile reconstruction supported by kinetic modeling
Nuclear FusionCombining the analysis of multiple diagnostics and well-chosen prior information in the framework of Bayesian probability theory, the Integrated Data Analysis code (IDA Fischer et al 2010 Fusion Sci. Technol.
M. Bergmann +10 more
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Regression via Classification for Fingerprint Orientation Estimation
IEEE AccessEstimating the direction in which the ridges and valleys of the fingerprint pattern are aligned often serves as a pivotal first step in fingerprint recognition systems. The ridge orientation map is a fundamental reference for subsequent processing stages,
Nesli Erdogmus
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Efficiency of Thin and Thick Markets [PDF]
In this paper, we propose a matching model to study the efficiency of thin and thick markets. Our model shows that the probabilities of matches in a thin market are significantly lower than those in a thick market.
Qi Li, Li Gan
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Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models [PDF]
, 2011 Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue that their purported confirmation largely relies on a methodology that depends on premises that are inconsistent with the claim that people are Bayesian ...
Danks, David +3 more
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