Results 91 to 100 of about 7,325 (196)
JTAM (Jurnal Teori dan Aplikasi Matematika)Regression analysis is one of the statistical methods used to model the relationship between response variables and predictor variables. Semiparametric regression is a combination of parametric and nonparametric regression.
Tiani Wahyu Utami +2 more
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Semiparametric Counterfactual Regression
We study counterfactual regression, which aims to map input features to outcomes under hypothetical scenarios that differ from those observed in the data. This is particularly useful for decision-making when adapting to sudden shifts in treatment patterns is essential.
openaire +2 more sources
Strategic Management Journal, Volume 47, Issue 7, Page 1935-1979, July 2026.Abstract Research Summary We adopt a network‐based perspective to examine the effects of hiring strategies in terms of the diversity of hiring sources. Considering the transferability of general and firm‐specific skills, we propose that firms can reduce integration costs while gaining diversity benefits when they hire from a focused set of firms that ...
Sang Won Han, Shinjae Won
wiley +1 more source
Econometrics at the Extreme: From Quantile Regression to QFAVAR1
Journal of Economic Surveys, Volume 40, Issue 3, Page 1672-1686, July 2026.ABSTRACT This paper surveys quantile modelling from its theoretical origins to current advances. We organize the literature and present core econometric formulations and estimation methods for: (i) cross‐sectional quantile regression; (ii) quantile time series models and their time series properties; (iii) quantile vector autoregressions for ...
Stéphane Goutte +4 more
wiley +1 more source
On Exponential‐Family INGARCH Models
Journal of Time Series Analysis, Volume 47, Issue 4, Page 912-918, July 2026.ABSTRACT A range of integer‐valued generalised autoregressive conditional heteroscedastic (INGARCH) models have been proposed in the literature, including those based on conditional Poisson, negative binomial and Conway‐Maxwell‐Poisson distributions. This note considers a larger class of exponential‐family INGARCH models, showing that maximum empirical
Alan Huang +3 more
wiley +1 more source
Are Neural Representation Learning Methods a Viable Alternative to TMLE for Causal Estimation?
Data Science in Science{Simulation is used to evaluate the performance of deep learning and semiparametric causal estimators under realistic high- and low-dimensional data-generating mechanisms from epidemiologic studies.} Deep learning models that leverage representation ...
Mohammad Ehsanul Karim +1 more
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A Combined Truncated Spline and Kernel Semiparametric Path Model Development
Cauchy: Jurnal Matematika Murni dan AplikasiSemiparametric path analysis is a combination of parametric and nonparametric path analysis performed when the linearity assumption in some relationships is not met.
Usriatur Rohma +3 more
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O PATRÓN DESIGUAL DE CRECEMENTO EUROPEO: UNHA ANÁLISE SEMIPARAMÉTRICA A NIVEL REXIONAL
Revista Galega de Economía, 2013 The aim of this paper is to analyze the relationship between inequality and the equivalent dispo- sable income available at a regional level and to contrast the type of relationship between two variables in the developed world in the context of a ...
DANIEL RODRÍGUEZ GONZÁLEZ +1 more
doaj
Cauchy: Jurnal Matematika Murni dan AplikasiRice pest control is a critical challenge in the agricultural sector that requires a deep understanding of rice pest management. Regression analysis is a statistical method capable of describing and predicting cause-and-effect relationships between ...
Laila Nur Azizah +2 more
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