Markov Regression analysis using transition probabilities
Stationarity of the transition probabilities in the Markov chain formulation of owner
... non-stationary transition matrices are ...Payment probabilities at a certain time following claim submission, obtained using a non-stationary approach, are then compared with those obtained ...
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Logistic Regression Models for Higher Order Transition Probabilities of Markov Chain for Analyzing the Occurrences of Daily Rainfall Data
... Logistic regression models for transition probabilities of higher order Markov models are developed for the sequence of chain dependent repeated ...the transition probabilities ...
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Loss bounds for uncertain transition probabilities in Markov decision processes
... sition probabilities in Markov decision processes with bounded nonnegative ...precomputed using exact dynamic programming with the estimated transition probabilities, but the system ...
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Markov Switching Models with state dependent time varying transition probabilities
... studies using regime-switching models with time-inhomogeneous Markov transitions is which variables help to predict the tran- sitions between different regimes (a period of relative calm and a financial ...
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Markov-Switching Models with state-dependent time-varying transition probabilities
... studies using regime-switching models with time-inhomogeneous Markov transitions is which variables help to predict the tran- sitions between different regimes (a period of relative calm and a financial ...
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Colombian economic growth under Markov switching regimes with endogenous transition probabilities
... fixed probabilities is rejected in favour of the time-varying transition ...the probabilities have changed significantly during the period under analysis and the explanatory variables are very ...
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Dynamic inference for non-Markov transition probabilities under random right-censoring
... Another field of possible future interest is the extension of the present methodology to quality-adjusted sums of expected lengths of stay in a specific sub-set of states; cf. Williams (1985) who proposed such quality- ...
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Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model
... the transition probabilities in an illness-death model conditionally on current or past covariate ...illustrated using real a colon cancer data ...
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Integrated analysis of incidence, progression, regression and disappearance probabilities
... distinct transition probabilities are not trivial, thus researchers may need to first define the transition probabilities according to the study aims and then work on the modelling of current ...
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Nonparametric estimation of transition probabilities in the non-Markov illness-death model: a comparative study
... mortality transition of recurrent patients using a Cox proportional hazards ...the Markov assumption may be unsatisfactory and, therefore, non-Markov estimators may be a sensible choice to ...
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Comparison of the Flexible Parametric Survival Model and Cox Model in Estimating Markov Transition Probabilities using Real-World Data
... cost-effectiveness analysis of antiplatelet therapy for secondary prevention of stroke and compared the cost-effectiveness results of the two ...the analysis validating the Markov ...
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Estimating Markov Transition Probabilities Between Health States in the Social Security Malaysia (SOCSO) Dataset
... the Markov transition probabilities of a worker’s health states over time using the Counting Method (CM) and the Proportional Odds Model (POM), focusing on disability among the Social Security ...
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Transition choice probabilities and welfare analysis in random utility models
... the transition choice probabilities and the associated welfare measures (CV) and have provided analytical functional ...forms. Using these formulae will ease the econometric and the welfare ...
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Discrete time Markov chains with interval probabilities
... lower transition matrix and only the last step is then multiplication with the initial imprecise probability ...imprecise Markov models, presented in a more abstract settings using probability trees ...
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Estimation of Mean Transition Time using Markov Model and Comparison of risk factors of malnutrition using Markov Regression to Generalized Estimating Equations and Random Effects Model in a Longitudinal Study.
... ~ 13 ~ A stratified multistage random sampling study in Uganda was done to assess the dietary and environmental factors influencing stunting and other poor nutritional status of children <30 months. The study consisted ...
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Non-parametric estimation of transition probabilities in non-Markov multi-state models: The landmark Aalen-Johansen estimator
... the transition probabilities in non-Markov multi-state models, Datta and Satten 12 have shown that, even for non-Markov multi-state models, the estimator of state occupation ...
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Pricing American Options Using Transition Probabilities: A Dynamical Systems Approach
... Finite Markov Modulation and Its ...Quantitative Analysis in Financial Markets, Collected Papers of the New York University Mathematical Finance Seminar, ...
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Smoothed landmark estimators of the transition probabilities
... modeled using an illness-death model with states ‘Alive and disease-free’, ‘Alive with Recurrence’ and ...the transition probabilities described in Section ...estimated transition ...
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Smoothed landmark estimators of the transition probabilities
... The analysis of survival data may be described by the Markov process considering the transition from an initial ‘alive’ state to a single ultimate state or endpoint ...modeled using ...
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Estimation of Plasma Emission Transition Using Hidden Markov Model
... The future emission states of plasmas must be esti- mated to adjust experimental parameters for maintaining the plasma and making emergency stops to avoid the de- struction of devices. The durations of the plasma videos ...
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