Results 1 to 10 of about 6,611 (164)
Adaptive Semiparametric Language Models [PDF]
Transactions of the Association for Computational Linguistics, 2021 We present a language model that combines a large parametric neural network (i.e., a transformer) with a non-parametric episodic memory component in an integrated architecture.
Dani Yogatama +2 more
doaj +5 more sources
Divergence and Model Adequacy, a Semiparametric Case Study [PDF]
EntropyAdequacy for estimation between an inferential method and a model can be defined through two main requirements: firstly the inferential tool should define a well posed problem when applied to the model; secondly the resulting statistical procedure should
Michel Broniatowski, Justin Moutsouka
doaj +2 more sources
Remote Sensing, 2021 Airborne laser scanning (ALS) acquisitions provide piecemeal coverage across the western US, as collections are organized by local managers of individual project areas.
Francisco Mauro +7 more
doaj +1 more source
Semiparametric Duration Models [PDF]
Journal of Business & Economic Statistics, 2004 In this article we consider semiparametric duration models and efficient estimation of the parameters in a non-iid environment. In contrast to classical time series models where innovations are assumed to be iid we show that in, for example, the often-used autoregressive conditional duration (ACD) model, the assumption of independent innovations is too
Drost, F.C., Werker, B.J.M.
openaire +6 more sources
Semiparametric Additive Beta Regression Models
Revstat Statistical Journal, 2021 In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous and restricted to the unit ...
Germán Ibacache-Pulgar +2 more
doaj +1 more source
A Semiparametric Model for VQTL Mapping [PDF]
Biometrics, 2016 Summary Quantitative trait locus analysis has been used as an important tool to identify markers where the phenotype or quantitative trait is linked with the genotype. Most existing tests for single locus association with quantitative traits aim at the detection of the mean differences across genotypic groups.
Hong, Chuan +4 more
openaire +2 more sources
A semiparametric conditional duration model [PDF]
Economics Letters, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dungey, Mardi +3 more
openaire +2 more sources
REGION, 2022 This article introduces a new R package (pspatreg) for the estimation of semiparametric spatial autoregressive models. pspatreg fits penalized spline semiparametric spatial autoregressive models via Restricted Maximum Likelihood or Maximum Likelihood ...
Román Mínguez +2 more
doaj +1 more source
Semiparametric hierarchical model with heteroscedasticity [PDF]
Statistics and Its Interface, 2017 Recent work on hierarchical data analysis mainly focuses on the multilevel structure of the mean response. Little research for hierarchical heteroscedasticity was done in the literature. In this paper, we propose a class of hierarchical models with heteroscedasticity and then investigate the semi-parametric statistical inferences.
Ma, Chuoxin, Tian, Maozai, Pan, Jianxin
openaire +1 more source
Energies, 2020 We propose the use of wavelet-based semiparametric models for forecasting the value-at-risk (VaR) and expected shortfall (ES) in the crude oil market. We compared the forecast outcomes across different time scales for three semiparametric models, three ...
Lu Yang, Shigeyuki Hamori
doaj +1 more source