Results 121 to 130 of about 451,378 (309)
Markov-Switching MIDAS Models [PDF]
This paper introduces a new regression model - Markov-switching mixed data sampling (MS-MIDAS) - that incorporates regime changes in the parameters of the mixed data sampling (MIDAS) models and allows for the use of mixed-frequency data in Markov ...
Pierre Guerin, Massimiliano Marcellino
core
Multi‐Stage Social Value Orientation‐Based Lane‐Changing Driving for Autonomous Vehicles
A multi‐stage SVO framework is developed to dynamically infer the social preferences of surrounding vehicles from human driving data. By combining offline learning, online SVO estimation, temporal intention tracking, and interaction‐aware planning, the framework enables autonomous vehicles to adapt lane‐changing decisions and trajectories to evolving ...
Nongrui Qin +4 more
wiley +1 more source
María Guadalupe Casales Hernández
doaj +3 more sources
The Importance Markov chain is a novel algorithm bridging the gap between rejection sampling and importance sampling, moving from one to the other through a tuning parameter. Based on a modified sample of an instrumental Markov chain targeting an instrumental distribution (typically via a MCMC kernel), the Importance Markov chain produces an extended ...
Andral, Charly +3 more
openaire +4 more sources
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra +3 more
wiley +1 more source
Reprezentări ale principilor transilvăneni pe săbii nobiliare maghiare din sec. al XIX-lea.
The collection of weapons in the National Museum of Banat includes two 19th century Hungarian ceremonial swords which feature many design and ornamental elements that can mislead the laymen in the field of old heritage weapons.
Zoarna Markov
doaj
Bayesian inference for Hidden Markov Model [PDF]
Hidden Markov Models can be considered an extension of mixture models, allowing for dependent observations. In a hierarchical Bayesian framework, we show how Reversible Jump Markov Chain Monte Carlo techniques can be used to estimate the parameters of ...
Luisa Scaccia, Rosella Castellano
core
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate +4 more
wiley +1 more source
Modelling the purchase dynamics of insurance customers using Markov chains
This paper considers how various types of Markov chains can be used to help forecast the purchase behaviour of customers. The models are used in a case study of the purchase behaviour of the customers of a major insurance company.
Thomas, Lyn C. +3 more
core +1 more source
Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching [PDF]
In this paper a dynamic bi-factor model with Markov switching is proposed to measure and predict turning points of the German business cycle. It estimates simultaneously the composite leading indicator (CLI) and composite coincident indicator (CCI ...
Konstantin A. Kholodilin
core

