Results 1 to 10 of about 42,871 (261)

On Regime Switching Models

Mathematics
Regime switching models have been widely studied for their ability to capture the dynamic behavior of time series data and are widely used in economic and financial data analysis.
Zhenni Tan, Yuehua Wu
doaj   +1 more source

Proper account of auto-correlations improves decoding performances of state-space (semi) Markov models

Peer Community Journal
State-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models.
Bez, Nicolas, Gloaguen, Pierre, Etienne, Marie-Pierre, Lanco, Sophie, Joo, Rocío, Rivot, Etienne, Walker, Emily, Woillez, Mathieu, Mahévas, Stéphanie   +8 more
doaj   +1 more source

Hidden Abstract Stack Markov Models with Learning Process

Mathematics
We present hidden abstract stack Markov models (HASMMs) with their learning process. The HASMMs we offer carry the more expressive nature of probabilistic context-free grammars (PCFGs) while allowing faster parameter fitting of hidden Markov models (HMMs)
Mete Özbaltan
doaj   +1 more source

Classification Among Hidden Markov Models.

, 2019
An important task in AI is one of classifying an observation as belonging to one class among several (e.g. image classification). We revisit this problem in a verification context: given k partially observable systems modeled as Hidden Markov Models (also called labeled Markov chains), and an execution of one of them, can we eventually classify which ...
Akshay, S., Bazille, Hugo, Fabre, Eric, Genest, Blaise   +3 more
openaire   +4 more sources

The Realization Problem for Hidden Markov Models

Mathematics of Control, Signals, and Systems, 1999
Let \(X\) be a discrete-time finite-state Markov process and let \(Y=h(X,Z)\), where \(Z\) is some i.i.d. sequence, and where the output \(Y\) can take a finite number of values. This paper considers the realization question: given the probabilities of all finite-length output strings, under what circumstances and how can one construct an \(X\) as ...
openaire   +1 more source

A DynamicTrustEvaluationModelBasedonOptimizedHiddenMarkovProcess

工程科学与技术, 2015
:In order to depict high dynamic of entity behavior quickly and accurately,a trust evaluation model based on continuous-time hidden Markov process was proposed.
郜燕, 刘文芬
doaj  

Linking brain and behavior states in Zebrafish Larvae locomotion using hidden Markov models. [PDF]

PLoS Comput Biol
Dommanget-Kott M, Fernandez-de-Cossio-Diaz J, Coraggioso M, Bormuth V, Monasson R, Debrégeas G, Cocco S.   +6 more
europepmc   +2 more sources

Application of Hidden Markov Model in Forecasting New Cases of Tuberculosis in Hamadan Province Based on the Recorded Cases during 2006-2016

مجله اپیدمیولوژی ایران, 2018
Background and Objectives: Tuberculosis is a chronic bacterial disease and a major cause of morbidity and mortality. It is caused by a Mycobacterium tuberculosis.
M Safari, M Sadeghifar, GH Roshanaei, A Zahiri   +3 more
doaj  

depmixS4: An R Package for Hidden Markov Models

Journal of Statistical Software, 2010
depmixS4 implements a general framework for defining and estimating dependent mixture models in the R programming language. This includes standard Markov models, latent/hidden Markov models, and latent class and finite mixture distribution models.
Ingmar Visser, Maarten Speekenbrink
doaj