Results 101 to 110 of about 1,047,164 (269)

Empirical Bayesian Learning in AR Graphical Models [PDF]

arXiv, 2019
We address the problem of learning graphical models which correspond to high dimensional autoregressive stationary stochastic processes. A graphical model describes the conditional dependence relations among the components of a stochastic process and represents an important tool in many fields.
arxiv  

Fuzzy Autoregressive Model With an Application [PDF]

المجلة العراقية للعلوم الاحصائية, 2009
The research is dedicated in the study to time series and the ability of using fuzzy logic with it in order to develop forecasting approaches. In this research ,the time series (Autoregressive model) are linked with fuzzy logic in order to get on the ...
doaj   +1 more source

Study on the Relationship Between the Number of Adverse Drug Reactions of Essential Drugs and Visits: Based on Vector Autoregressive Model. [PDF]

Risk Manag Healthc Policy, 2023
Tang W, Chen H, Zhang Z, Wu G, Lin Y.
europepmc   +1 more source

The exact multi-period mean-square forecast error for the first-order autoregressive model with an intercept [PDF]

, 1989
Jan R. Magnus, Bahram Pesaran
openalex   +1 more source

Variable Selection of Spatial Logistic Autoregressive Model with Linear Constraints. [PDF]

Entropy (Basel), 2022
Song Y, Su Y, Wang Z.
europepmc   +1 more source

Masked Autoregressive Flow for Density Estimation [PDF]

arXiv, 2017
Autoregressive models are among the best performing neural density estimators. We describe an approach for increasing the flexibility of an autoregressive model, based on modelling the random numbers that the model uses internally when generating data. By constructing a stack of autoregressive models, each modelling the random numbers of the next model
arxiv  

Did earnings mobility change after minimum wage introduction? Evidence from parametric and semi‐nonparametric methods in Germany

Journal of Applied Econometrics, Volume 37, Issue 7, Page 1379-1402, November/December 2022., 2022
Summary We analyze the evolution of earnings mobility in Germany between 2011 and 2018. We use transition matrices and parametric and semi‐nonparametric copula models to assess the impact of the introduction of the national minimum wage on January 1, 2015, on individual positional persistence in the wage distribution.
Costanza Naguib
wiley   +1 more source

Variants of Chaotic Grey Wolf Heuristic for Robust Identification of Control Autoregressive Model. [PDF]

Biomimetics (Basel), 2023
Mehmood K, Chaudhary NI, Khan ZA, Cheema KM, Raja MAZ.   +4 more
europepmc   +1 more source

A Survey on Vision Autoregressive Model [PDF]

arXiv
Autoregressive models have demonstrated great performance in natural language processing (NLP) with impressive scalability, adaptability and generalizability. Inspired by their notable success in NLP field, autoregressive models have been intensively investigated recently for computer vision, which perform next-token predictions by representing visual ...
arxiv  

Treatment patterns, outcomes and healthcare resource utilization of obstructive hypertrophic cardiomyopathy in England

ESC Heart Failure, EarlyView.
Abstract Aims Describe patient characteristics, treatment patterns, clinical outcomes, healthcare resource utilization (HCRU) and medical costs associated with patients who were diagnosed with obstructive hypertrophic cardiomyopathy (HCM) in clinical practice in England.
Faizel Osman, Carla L. Zema, Michael Hurst, Belinda Sandler, Florence Brellier, Ovie Utuama, Oksana Kirichek, John Houghton, Teresa Lemmer, Maite Tome Esteban   +9 more
wiley   +1 more source