Results 71 to 80 of about 102,383 (223)

The stability of conditional Markov processes and Markov chains in random environments

open access: yes, 2009
We consider a discrete time hidden Markov model where the signal is a stationary Markov chain. When conditioned on the observations, the signal is a Markov chain in a random environment under the conditional measure.
van Handel, Ramon
core   +1 more source

Spatial and temporal variation in survival of female wild turkeys

open access: yesThe Journal of Wildlife Management, EarlyView.
We monitored 370 female wild turkeys across North Carolina's 3 ecoregions from 2020‐2022 to understand factors influencing their survival. Female survival varied by ecoregion and behavior state, with the incubation period having the lowest survival rates. None of the land cover variables affected survival.
David J. Moscicki   +5 more
wiley   +1 more source

An Introduction to Predictive Processing Models of Perception and Decision‐Making

open access: yesTopics in Cognitive Science, EarlyView., 2023
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley   +1 more source

Optimal Asynchronous Guaranteed Cost Control of Uncertain Markov Jump Systems With Actuator Saturation and Nonideal Transition Probabilities

open access: yesIEEE Access
This paper investigates the problem of dynamic event-triggered asynchronous guaranteed cost control for uncertain Markov jump systems with actuator saturation and nonideal transition probabilities.
Jiazheng Liu, Yang Yang, Yaru Song
doaj   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés   +2 more
wiley   +1 more source

Impact of Packaging and Recycling Systems on Material Recirculation: A Stage‐Decomposition Model

open access: yesPackaging Technology and Science, EarlyView.
A system‐level view emerges from decomposing recycling into four stages (participation, collection, sorting and process yield), diagnosing constraints and targeting interventions. Cumulative equivalent uses (CEUs) quantify long‐term retention, revealing marginal improvements at high baselines generate disproportionately larger gains than low‐baseline ...
Diogo Figueirinhas   +3 more
wiley   +1 more source

Feedforward Factorial Hidden Markov Model

open access: yesMathematics
This paper introduces a novel kind of factorial hidden Markov model (FHMM), specifically the feedforward FHMM (FFHMM). In contrast to traditional FHMMs, the FFHMM is capable of directly utilizing supplementary information from observations through ...
Zhongxing Peng, Wei Huang, Yinghui Zhu
doaj   +1 more source

Almost Sure Stabilization for Adaptive Controls of Regime-switching LQ Systems with A Hidden Markov Chain

open access: yes, 2008
This work is devoted to the almost sure stabilization of adaptive control systems that involve an unknown Markov chain. The control system displays continuous dynamics represented by differential equations and discrete events given by a hidden Markov ...
Bercu, Bernard   +2 more
core   +1 more source

Bivariate postprocessing of wind vectors

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner   +3 more
wiley   +1 more source

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

open access: yesمجله 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   +3 more
doaj  

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