Results 211 to 220 of about 460,152 (328)
Combining Volatility Forecasts of Duration‐Dependent Markov‐Switching Models
ABSTRACT Duration‐dependent Markov‐switching (DDMS) models require a user‐specified duration hyperparameter, for which there is currently no established procedure for estimation or testing. As a result, an ad‐hoc duration choice must be heuristically justified.
Douglas Eduardo Turatti+2 more
wiley +1 more source
ABSTRACT Time series forecasts are always associated with uncertainty. However, experimental studies on the impact of uncertainty communication provide inconclusive results on the effect of providing this uncertainty to end users. In this study, we examine the impact of uncertainty visualizations on advice utilization in the context of time series ...
Dirk Leffrang, Oliver Müller
wiley +1 more source
Evaluating the Global Plastic Waste Management System with Markov Chain Material Flow Analysis. [PDF]
Smith E, Bilec MM, Khanna V.
europepmc +1 more source
A MARKOV CHAIN MODEL FOR THE PROBABILITY OF PRECIPITATION OCCURRENCE IN INTERVALS OF VARIOUS LENGTH [PDF]
James E. Caskey
openalex +1 more source
ABSTRACT In this paper, we investigate alternative one‐factor and two‐factor continuous‐time models with both affine and non‐affine variance dynamics for the Chinese options market. Through extensive empirical analysis of the option panel fit and diagnostics, we find that it is necessary to include both the non‐affine feature and the multi‐factor ...
Yifan Ye, Zheqi Fan, Xinfeng Ruan
wiley +1 more source
Abstract The Carthamus‐Carduncellus complex is formed by approximately 50 taxa that are widely distributed throughout the Mediterranean basin and western Asia. The generic delineation of this complex has always been controversial. Currently, there are three widely diverging taxonomical proposals, suggesting that the complex is formed by (1) a single ...
Roser Vilatersana+4 more
wiley +1 more source
PERAMALAN INDEKS HARGA SAHAM GABUNGAN (IHSG) DENGAN METODE FUZZY TIME SERIES MARKOV CHAIN
Tujuan penelitian ini adalah untuk mengetahui akurasi metode Fuzzy Time Series Markov Chain pada peramalan IHSG dan membuat aplikasi untuk peramalan IHSG menggunakan software MATLAB. Dalam penelitian ini, data bersumber dari yahoo finance. Data historis
Y Aristyani, E Sugiharti
doaj
Estimating random effects in a finite Markov chain with absorbing states: Application to cognitive data. [PDF]
Wang P+7 more
europepmc +1 more source
Classification of Markov chains with a general state space [PDF]
Zbyněk Šidák
openalex +1 more source