Results 171 to 180 of about 241,122 (289)

Exploring the associations of generalized trust, climate change conspiracy beliefs and freecycling: Empirical evidence from 34 cultures

British Journal of Psychology, EarlyView.
Abstract This study examined the relationships between generalized trust, climate change conspiracy beliefs and freecycling – a community‐based free‐item sharing pro‐environmental behaviour. It also explored the role of societal factors in relation to participation in freecycling, as well as how they are associated with these relationships.
Algae K. Y. Au, Jacky C. K. Ng, Sylvia Xiaohua Chen   +2 more
wiley   +1 more source

Consistent Eye Movement Patterns in Static and Dynamic Face Recognition: A Hidden Markov Model Study. [PDF]

Brain Sci
Bennetts RJ, Butcher N, Lander K.
europepmc   +1 more source

Opportunistic Channel Access Algorithm Based on Hidden Semi Markov Model for Cognitive Radio Networks [PDF]

, 2014
Bhupal Kumar, Dr.S.K. Srivatsa
openalex   +1 more source

Serial dependence in time perception requires consistent motor responses, not shared memory alone

British Journal of Psychology, EarlyView.
Abstract Serial dependence—the bias from recent experience on present response—has been attributed to shared memory representations, yet previous studies yielded contradictory findings about whether consistent motor responses are required. To address this debate in time perception, we tested whether serial dependence emerges when tasks share identical ...
Jiao Wu, Halid Oğuz Serçe, Zhuanghua Shi   +2 more
wiley   +1 more source

Dynamic reconfiguration and transition of whole-brain networks in patients with MELAS revealed by a hidden Markov model. [PDF]

Front Neurol
Yu Q, Wang R, Sun C, Hu B, Liu X, Yang L, Lin J, Geng D, Li Y.   +8 more
europepmc   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

British 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, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source

Helixer: ab initio prediction of primary eukaryotic gene models combining deep learning and a hidden Markov model. [PDF]

Nat Methods
Holst F, Bolger AM, Kindel F, Günther C, Maß J, Triesch S, Kiel N, Saadat N, Ebenhöh O, Usadel B, Schwacke R, Weber APM, Bolger ME, Denton AK.   +13 more
europepmc   +1 more source

Discovering the neuronal dynamics in major depressive disorder using Hidden Markov Model. [PDF]

Front Hum Neurosci, 2023
Jiang W, Ding S, Xu C, Ke H, Bo H, Zhao T, Ma L, Li H.   +7 more
europepmc   +1 more source

Developing a hidden Markov model for assessing the health of preterm babies

, 2006
James Roscoe
openalex   +1 more source

Comparison of Sleep State Classification Performance Using Random Forests, Hidden Markov Models, and Non-homogeneous Hidden Markov Models

, 2020
Mathieu Chalifour
openalex   +1 more source