Results 121 to 130 of about 291,412 (338)
Tests For Unit Roots: A Monte Carlo Investigation [PDF]
Recent work by Said and Dickey (1984 ,1985) , Phillips (1987), and Phillips and Perron(1988) examines tests for unit roots in the autoregressive part of mixed autoregressive-integrated-moving average (ARIHA) models (tests for stationarity).
G. William Schwert
core
Intravenous lanadelumab for the treatment of moderately ill COVID‐19 patients
Aims Kallikrein‐kinin system (KKS) dysregulation is hypothesized to play a pathogenetic role in COVID‐19‐associated pulmonary oedema. To investigate the efficacy and safety of intravenous lanadelumab, a monoclonal antibody that inhibits plasma kallikrein, in COVID‐19, we conducted a phase 2, open‐label, randomized‐controlled, proof‐of‐concept ...
Job J. Engel +12 more
wiley +1 more source
Liu-type pretest and shrinkage estimation for the conditional autoregressive model. [PDF]
Al-Momani M.
europepmc +1 more source
The Bi-parameter Smooth Transition Autoregressive model [PDF]
The present paper introduces the Bi-parameter Smooth Transition Autoregressive (BSTAR) model that generalizes the LSTR2 model, see Terasvirta (1998). In contrast to the LSTR2 model, which features the symmetric transition function, the BSTAR model is ...
Boriss Siliverstovs
core
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro +3 more
wiley +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]
Tang W, Chen H, Zhang Z, Wu G, Lin Y.
europepmc +1 more source
Bayesian model diagnostics based on artificial autoregressive errors [PDF]
Mario Peruggia
openalex +1 more source
AutoRegressive (AR) models have demonstrated competitive performance in image generation, achieving results comparable to those of diffusion models. However, their token-by-token image generation mechanism remains computationally intensive and existing solutions such as VAR often lead to limited sample diversity.
Wu, Hongyu +3 more
openaire +2 more sources
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne +2 more
wiley +1 more source

