Results 171 to 180 of about 167,711 (260)

Understanding cooperative membership and maize market participation in Rwanda: A Bayesian triple‐hurdle analysis

open access: yesAnnals of Public and Cooperative Economics, EarlyView.
Abstract Smallholder market participation studies often focus narrowly on selling decisions, overlooking the institutional role of agricultural cooperatives, particularly in contexts like Rwanda, where cooperatives underpin agricultural policy. Consequently, empirical evidence on how cooperative membership shapes farmers’ commercialization across ...
John N. Ng'ombe   +3 more
wiley   +1 more source

Biological causes and impacts of rugged tree landscapes in phylodynamic inference. [PDF]

open access: yesProc Natl Acad Sci U S A
Gao J   +5 more
europepmc   +1 more source

Computers and chess masters: The role of AI in transforming elite human performance

open access: yesBritish Journal of Psychology, EarlyView.
Abstract Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.6 million decisions of elite chess players, a domain commonly used as a testbed for AI
Merim Bilalić, Mario Graf, Nemanja Vaci
wiley   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo   +2 more
wiley   +1 more source

MCMC-driven learning

open access: yes
This paper is intended to appear as a chapter for the Handbook of Markov Chain Monte Carlo. The goal of this chapter is to unify various problems at the intersection of Markov chain Monte Carlo (MCMC) and machine learning$\unicode{x2014}$which includes black-box variational inference, adaptive MCMC, normalizing flow construction and transport-assisted ...
Bouchard-Côté, Alexandre   +3 more
openaire   +1 more source

A Bayes factor framework for unified parameter estimation and hypothesis testing

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source

A multilevel Ornstein–Uhlenbeck process with individual‐ and variable‐specific estimates as random effects

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In the present study, we extend a stochastic differential equation (SDE) model, the Ornstein–Uhlenbeck (OU) process, to the simultaneous analysis of time series of multiple variables by means of random effects for individuals and variables using a Bayesian framework.
José Ángel Martínez‐Huertas   +1 more
wiley   +1 more source

Home - About - Disclaimer - Privacy