A semi-Markov model for stroke with piecewise-constant hazards in the presence of left, right and interval censoring. [PDF]
, 2013 This paper presents a parametric method of fitting semi-Markov models with piecewise-constant hazards in the presence of left, right and interval censoring. We investigate transition intensities in a three-state illness-death model with no recovery.
Kapetanakis, V +5 more
core +1 more source
Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models [PDF]
Journal of Computational and Graphical Statistics, 2019 Bayesian inference for coupled hidden Markov models frequently relies on data augmentation techniques for imputation of the hidden state processes. Considerable progress has been made on developing such techniques, mainly using Markov chain Monte Carlo (MCMC) methods.
Touloupou, Panayiota +2 more
openaire +3 more sources
Learning Evolutionary Stages with Hidden Semi-Markov Model for Predicting Social Unrest Events
Discrete Dynamics in Nature and Society, 2020 Social unrest events are common happenings in modern society which need to be proactively handled. An effective method is to continuously assess the risk of upcoming social unrest events and predict the likelihood of these events. Our previous work built
Fengcai Qiao, Xin Zhang, Jinsheng Deng
doaj +1 more source
A Novel Health Prognosis Method for a Power System Based on a High-Order Hidden Semi-Markov Model
Energies, 2021 Power system health prognosis is a key process of condition-based maintenance. For the problem of large error in the residual lifetime prognosis of a power system, a novel residual lifetime prognosis model based on a high-order hidden semi-Markov model ...
Qinming Liu +4 more
doaj +1 more source
Sequential fraud detection by determining proper sequence length in payment cards using HMM [PDF]
AUT Journal of Modeling and Simulation, 2020 The use of bank cards has increased significantly in recent years. This has resulted in increasing the probability of internet payment card frauds and has highly imposed losses on customers, institutions and banks.
mehrdad kargari, gazaleh shahidi
doaj +1 more source
Decoding the Australian electricity market: new evidence from three-regime hidden semi-Markov model [PDF]
, 2018 The hidden semi-Markov model (HSMM) is more flexible than the hidden Markov model (HMM). As an extension of the HMM, the sojourn time distribution in the HSMM can be explicitly specified by any distribution, either nonparametric or parametric ...
Lau, Chi Keung +5 more
core +1 more source
Machines, 2018 This work presents a method to improve the diagnostic performance of empirical classification system (ECS), which is used to estimate the degradation state of components based on measured signals.
Francesco Cannarile +4 more
doaj +1 more source
Scale-Dependent Attraction of Invasive Raccoons to Bait Sites: Behavioural and Proximity Responses in a Post-Disaster Agricultural Landscape. [PDF]
Ecol EvolUsing cafeteria‐style bait trials and GPS telemetry, we investigated scale‐dependent responses of invasive raccoons to baiting in a post‐nuclear‐disaster agricultural landscape in Fukushima, Japan. Baiting induced strong short‐term and daily‐scale attraction to trap sites but did not restructure long‐term space use, highlighting the need to balance ...
Watanabe A +3 more
europepmc +2 more sources
Implied distributions in multiple change point problems [PDF]
, 2011 A method for efficiently calculating exact marginal, conditional and joint distributions for change points defined by general finite state Hidden Markov Models is proposed.
Aston, John A. D. +5 more
core +1 more source
A Logical Hierarchical Hidden Semi-Markov Model for Team Intention Recognition
Discrete Dynamics in Nature and Society, 2015 Intention recognition is significant in many applications. In this paper, we focus on team intention recognition, which identifies the intention of each team member and the team working mode.
Shi-guang Yue +3 more
doaj +1 more source