Results 181 to 190 of about 190,317 (312)

Modeling Behavioral Deviations in Adls Using Inverse Reinforcement Learning and Higher-Order Markov Chains

Fateme Akbari, Kamran Sartipi
openalex   +1 more source

Hidden Markov Models for SSVEP-based brain computer interfaces with decision-feedback training

, 2009
M. Hartmann, Tilmann Kluge
openalex   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Historical Use of Markov Model and Posterior Predictive Checks in Pharmacometrics. [PDF]

CPT Pharmacometrics Syst Pharmacol
Girard P, Kastrissios H.
europepmc   +1 more source

Transformation of the Team Role Model of Scientific Schools Into a Markov Chain

Askar Khikmetov, Kaisar Alpysbayev, Kateryna Kolesnikova   +2 more
openalex   +1 more source

Analysing the Drivers of Cropland Footprint in Leading Agricultural Nations: Evidence From MMQR Approach

Geological Journal, EarlyView.
ABSTRACT Climate change represents the biggest current challenge for us and for future generations. Its impact on agriculture is undeniable, considering the food security goal. Thus, the cropland footprint has been distinguished as a comprehensive index for assessing the impact of environmental changes in agricultural areas determined by the increased ...
Ibrahim Cutcu, Magdalena Radulescu
wiley   +1 more source

Research on hydrological survey and forecasting model based on rolling sampling Markov chain

Wei Yi, Peiqing Qian
openalex   +1 more source

Joint Modeling of Birth Outcomes Using a Copula Distributional Regression Approach

Health Economics, EarlyView.
ABSTRACT Low birth weight and preterm birth are key indicators of neonatal health, influencing both immediate and long‐term infant outcomes. While low birth weight may reflect fetal growth restrictions, preterm birth captures disruptions in gestational development. Ignoring the potential interdependence between these variables may lead to an incomplete
Giampiero Marra, Rosalba Radice
wiley   +1 more source

Momentum, volume and investor sentiment study for u.s. technology sector stocks-A hidden markov model based principal component analysis. [PDF]

PLoS One
Li S.
europepmc   +1 more source

What Can Markov Switching Levy Process Models Tell Us About Real Estate Markets

, 2018
Charles Shaw
openalex   +1 more source