Results 181 to 190 of about 241,122 (289)

Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim, Hans Friedrich Köhn, Chia‐Yi Chiu   +2 more
wiley   +1 more source

Momentum, volume and investor sentiment study for u.s. technology sector stocks-A hidden markov model based principal component analysis. [PDF]

PLoS One
Li S.
europepmc   +1 more source

Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model. [PDF]

PLoS One, 2023
Panaggio MJ, Fang M, Bang H, Armstrong PA, Binder AM, Grass JE, Magid J, Papazian M, Shapiro-Mendoza CK, Parks SE.   +9 more
europepmc   +1 more source

Idiographic interrater reliability measures for intensive longitudinal multirater data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Interrater reliability plays a crucial role in various areas of psychology. In this article, we propose a multilevel latent time series model for intensive longitudinal data with structurally different raters (e.g., self‐reports and partner reports).
Tobias Koch, Miriam F. Jaehne, Michaela Riediger, Antje Rauers, Jana Holtmann   +4 more
wiley   +1 more source

Hidden Markov model for acoustic pesticide exposure detection and hive identification in stingless bees. [PDF]

PLoS One
Otesbelgue A, Orth AJ, Fong CD, Fassbinder-Orth CA, Blochtein B, Pereira MJR.   +5 more
europepmc   +1 more source

Lokatt: a hybrid DNA nanopore basecaller with an explicit duration hidden Markov model and a residual LSTM network. [PDF]

BMC Bioinformatics, 2023
Xu X, Bhalla N, Ståhl P, Jaldén J.
europepmc   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

The Gaussian-linear hidden Markov model: A Python package. [PDF]

Imaging Neurosci (Camb)
Vidaurre D, Masaracchia L, Larsen NY, Ruijters LRPT, Alonso S, Ahrends C, Woolrich MW.   +6 more
europepmc   +1 more source

Retracted: Recognition of Badminton Shot Action Based on the Improved Hidden Markov Model. [PDF]

J Healthc Eng, 2023
Healthcare Engineering JO.
europepmc   +1 more source

Optimization of Hidden Markov Model for Density Estimation in Breast Imaging

, 2012
Sylvia Hon
openalex   +1 more source