Transition and dynamic reconfiguration in late-life depression based on hidden Markov model. [PDF]
Xiao H, Kang C, Zhao W, Guo S.
europepmc +1 more source
Multiple Chains Markov Switching Vector Autoregression
ABSTRACT Both the U.S. stock and bond returns exhibit distinct Markovian regimes. However, because these regimes display limited coherence, conventional models typically require highly parameterized systems to adequately capture their joint distribution.
Leopoldo Catania
wiley +1 more source
Altered brain dynamics in chronic neck and shoulder pain revealed by hidden Markov model. [PDF]
Qiu Z +7 more
europepmc +1 more source
On Testing for Independence Between Generalized Error Models of Several Time Series
ABSTRACT We define generalized innovations associated with generalized error models having arbitrary distributions, that is, distributions that can be mixtures of continuous and discrete distributions. These models include stochastic volatility models and regime‐switching models with possibly zero‐inflated regimes.
Kilani Ghoudi +2 more
wiley +1 more source
Hidden Markov Model-Based Behavioral Classification Reveals Visual Function Recovery After Retinal Organoid Transplantation in Mice. [PDF]
Shuto H +7 more
europepmc +1 more source
Random Carbon Tax Policy and Investment Into Emission Abatement Technologies
ABSTRACT We analyze the problem of a profit‐maximizing electricity producer, subject to carbon taxes, who decides on investments into CO2$\rm CO_2$ abatement technologies. We assume that the carbon tax policy is random and that the investment in the abatement technology is divisible, irreversible, and subject to transaction costs.
Katia Colaneri +2 more
wiley +1 more source
A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets. [PDF]
Li T, Camera G.
europepmc +1 more source
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source
Estimating childhood tuberculosis incidence and under-reporting in Gedeo Zone, Ethiopia: a Bayesian hidden Markov model. [PDF]
Tesfaye SH +6 more
europepmc +1 more source
Inflation Inequality Across Household Income Groups in Brazil: Persistence, Trend and Volatility
ABSTRACT This article investigates inflation inequality across four income strata in Brazil (very low, low, middle, and high income) from July 2006 to April 2025, using the Headline IPCA as a benchmark. We test the hypothesis that inflation dynamics and transmission mechanisms are structurally unequal and disproportionately affect lower‐income ...
Sinara do Valle, Cleomar Gomes da Silva
wiley +1 more source

