Results 41 to 50 of about 17,183 (156)
Testing for Contagion in International Financial Markets: To See More, Go Higher
Financial Review, EarlyView.ABSTRACT Traditional measures of financial contagion rely on correlation shifts, overlooking higher moments such as skewness and kurtosis. We examine contagion during two major financial crises, incorporating lower‐ and higher‐moment measures. We analyze stock market returns from 22 major markets at different frequencies, offering a global perspective ...
Simeon Coleman, Vitor Leone
wiley +1 more source
An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples
International Statistical Review, EarlyView.Summary The main issue with non‐probability samples is that the standard design‐based approach cannot be applied as the selection mechanism is unknown. In this paper, the concept of uncertainty on data generating model, resulting from the lack of knowledge of the sampling design acting in the non‐probability sample, is discussed.
Pier Luigi Conti, Daniela Marella
wiley +1 more source
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
International Statistical Review, EarlyView.Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
A note on the U,V method of estimation
, 2007 The U,V method of estimation provides unbiased estimators or predictors of random quantities. The method was introduced by Robbins \citer3 and subsequently studied in a series of papers by Robbins and Zhang. (See Zhang \citer5.) Practical applications of
Cohen, Arthur, Sackrowitz, Harold
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A spectral analysis extension to DEMATEL for strategic leverage points identification
International Transactions in Operational Research, EarlyView.Abstract Efforts to intervene in complex systems often emphasize influential factors, yet system behavior is equally shaped by the relationships among them. Methods such as Decision‐Making Trial and Evaluation Laboratory (DEMATEL) map causal structures but remain descriptive and do not identify which relationships provide the greatest leverage for ...
Pavlos Delias, Kerasia Kalkitsa
wiley +1 more source
A generalized risk approach to path inference based on hidden Markov models
, 2012 Motivated by the unceasing interest in hidden Markov models (HMMs), this paper re-examines hidden path inference in these models, using primarily a risk-based framework. While the most common maximum a posteriori (MAP), or Viterbi, path estimator and the
Koloydenko, Alexey A., Lember, Jüri
core
Comment: The Doctrine of Chances, Brides of the Bath and a Reply to Sean Sullivan [PDF]
, 2015 The ‘Doctrine of Chances’ is a doctrine of probability that purports to solve an apparent logical conundrum or contradiction in the law of Evidence. It is the author\u27s thesis in this article that the doctrine of chances—in any acceptable logical form ...
Rothstein, Paul F
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Markov Determinantal Point Process for Dynamic Random Sets
Journal of Time Series Analysis, EarlyView.ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley +1 more source
Adaptive Estimation for Weakly Dependent Functional Times Series
Journal of Time Series Analysis, EarlyView.ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro +2 more
wiley +1 more source
Why Technology Provides Compelling Reasons to Apply a Daubert Analysis to the Legal Standard of Care in Medical Malpractice Cases [PDF]
, 2006 Traditionally, courts have applied a customary practice standard in determining the legal standard of care in medical malpractice cases. Recently, a few courts have abandoned this dated standard and instead applied a Daubert analysis to the standard of
Hines, Nichole
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