Results 81 to 90 of about 139,337 (213)

Way More than the Sum of Their Parts: From Statistical to Structural Mixtures. [PDF]

Entropy (Basel)
Crutchfield JP.
europepmc   +1 more source

An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang, Anja F. Ernst, Ginette Lafit, Ward B. Eiling, Laura F. Bringmann   +4 more
wiley   +1 more source

Decoding the neural dynamics of everyday prospective remembering: a hidden Markov model approach. [PDF]

Front Hum Neurosci
Vicentin S, Reschini DB, Santacesaria P, Toffoli L, Zago S, Arcara G, Cona G.   +6 more
europepmc   +1 more source

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

Raw signal segmentation for estimating RNA modification from Nanopore direct RNA sequencing data. [PDF]

Elife
Cheng G, Vehtari A, Cheng L.
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

Joint Bayesian Hidden Markov Model With Subject-Specific Transitions for Wearable Sensor Data. [PDF]

Stat Med
Fei W, Miao Z, Xu T, Wang Y.
europepmc   +1 more source

Multirate Coupled Hidden Markov Models and Their Application to Machining Tool-Wear Classification

IEEE Transactions on Signal Processing, 2007
Ö. Çetin, Mari Ostendorf, G. Bernard
semanticscholar   +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 Challenge of Time-to-Event Analysis for Multiple Events: A Guided Tour From Time-to-First-Event to Recurrent Time-to-Event Analysis. [PDF]

Biom J
Schmeller S, Erdmann A, Beyersmann J, Angermann C, Ozga AK.   +4 more
europepmc   +1 more source