Results 51 to 60 of about 26,379 (227)
Differential item functioning detection across multiple groups
Abstract Differential item functioning (DIF) can be investigated by estimating item response theory (IRT) parameters separately for different respondent groups, thus allowing for the detection of discrepancies in parameter estimates across groups. However, before comparing the estimates, it is necessary to convert them to a common metric due to the ...
Michela Battauz
wiley +1 more source
Deep Reinforcement Learning reaches a superhuman level of play in many complete information games. The state of the art algorithm for learning with zero knowledge is AlphaZero. We take another approach, Athénan, which uses a different, Minimax-based, search algorithm called Descent, as well as different learning targets and that does not use a policy ...
Cohen Solal, Quentin, Cazenave, Tristan
openaire +4 more sources
Computing Skinning Weights via Convex Duality
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source
We investigate the asymptotic construction of constant-risk Bayesian predictive densities under the Kullback–Leibler risk when the distributions of data and target variables are different and have a common unknown parameter. It is known that the Kullback–
Keisuke Yano, Fumiyasu Komaki
doaj +1 more source
Abstract I argue that economists' distinction between ‘pure’ and ‘applied’ economic theory is often based on papers' stylistic markers rather than their methodology or scope. I illustrate this point with a model of price competition for boundedly rational consumers, due to Piccione and Spiegler. I first present its original, ‘pure style’ version.
Ran Spiegler
wiley +1 more source
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
Optimal Control Systems Design of Communication Networks
the principles of control systems' optimal design are given while it is running two main modes: stationary and automatic. The search methods of decisions in accordance with these modes are offered.
Ihor Parkhomei +4 more
doaj +1 more source
From Minimax Shrinkage Estimation to Minimax Shrinkage Prediction
Published in at http://dx.doi.org/10.1214/11-STS383 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
George, Edward I, Liang, Feng, Xu, Xinyi
openaire +4 more sources
Testing Distributional Granger Causality With Entropic Optimal Transport
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley +1 more source
Search versus Knowledge: An Empirical Study of Minimax on KRK [PDF]
This article presents the results of an empirical experiment designed to gain insight into what is the effect of the minimax algorithm on the evaluation function. The experiment’s simulations were performed upon the KRK chess endgame.
Sadikov, Aleksander +2 more
core +1 more source

