Results 101 to 110 of about 103,352 (315)
Modeling Measurement as a Sequential Process: Autoregressive Confirmatory Factor Analysis (AR-CFA)
Frontiers in Psychology, 2019 To model data from multi-item scales, many researchers default to a confirmatory factor analysis (CFA) approach that restricts cross-loadings and residual correlations to zero.
Ozlem Ozkok +5 more
doaj +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
Agribusiness, EarlyView.ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb +2 more
wiley +1 more source
EL NINO, LA NINA, DAN PENAWARAN PANGAN DI JAWA, INDONESIA
Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan, 2011 Paddy and maize are two important food crops in Indonesia and mainly produced in Java Island. This research aimed to know the impact of El Nino and La Nina on paddy and maize farmer’s supply in Java.
Arini Wahyu Utami +2 more
doaj
Probabilistic projection of subnational total fertility rates
Demographic Research, 2018 Background: We consider the problem of probabilistic projection of the total fertility rate (TFR) for subnational regions. Objective: We seek a method that is consistent with the UN's recently adopted Bayesian method for probabilistic TFR projections ...
Hana Sevcikova +2 more
doaj +1 more source
Subsampling inference in threshold autoregressive models [PDF]
This paper discusses inference in self exciting threshold autoregressive (SETAR) models. Of main interest is inference for the threshold parameter. It is well-known that the asymptotics of the corresponding estimator depend upon whether the SETAR model ...
Michael Wolf, Jesús Gonzalo
core
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
AxiomsThis paper investigates the asymptotic behavior of kernel-based estimators for the error distribution in a first-order autoregressive model with dependent errors. The model assumes that the error terms form an α-mixing sequence with an unknown cumulative
Bing Wang +4 more
doaj +1 more source
A Pairwise Difference Estimator for Partially Linear Spatial Autoregressive Models [PDF]
Su and Jin (2010) develop for partially linear spatial autoregressive (PL-SAR) model a profile quasimaximum likelihood based estimation procedure. More recently, Su (2011) proposes for this model a semiparametric GMM estimator.
Zhengyu Zhang
core