Results 61 to 70 of about 15,261 (244)

SEMIPARAMETRIC REGRESSION AND GRAPHICAL MODELS

Australian & New Zealand Journal of Statistics, 2009
SummarySemiparametric regression models that use spline basis functions with penalization have graphical model representations. This link is more powerful than previously established mixed model representations of semiparametric regression, as a larger class of models can be accommodated. Complications such as missingness and measurement error are more
openaire   +3 more sources

Regulation, Taxation, and Resources: Unpacking Greenhouse Gas Emission Drivers Across G7 Economies

Thunderbird International Business Review, EarlyView.
ABSTRACT Advanced economies are under growing pressure to downscale greenhouse gas (GHG) emissions without undermining growth, yet G7 (Group of Seven) nations, representing almost 10% of the world's population, still generate one quarter of global GHGs.
Mohammad Imtiaz Hossain, Md Emon Ahmed, Mohammad Fakhrul Islam, Md. Karimul Alam, Mohammad Abdullah Al Mamun, Md Tarique Kazi   +5 more
wiley   +1 more source

Semiparametric Bayesian inference in multiple equation models [PDF]

, 2005
This paper outlines an approach to Bayesian semiparametric regression in multiple equation models which can be used to carry out inference in seemingly unrelated regressions or simultaneous equations models with nonparametric components.
Koop, G.M., Poirier, D., Poirier, Dale J., Tobias, Justin, Tobias, J., Koop, Gary   +5 more
core   +1 more source

Do Agricultural Subsidies Affect the Labor Allocation Decision? Comparing Parametric and Semiparametric Methods

Journal of Agricultural and Resource Economics, 2013
This study estimates off-farm labor supply from farm operators and their spouses using two different estimation procedures and data from the 2006 Agricultural Resource Management Survey.
Mahesh Pandit, Krishna P. Paudel, Ashok K. Mishra   +2 more
doaj   +1 more source

Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying

American Journal of Political Science, EarlyView.
Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard, Nathan Canen, Sebastian Saiegh   +2 more
wiley   +1 more source

Simulation Study and Development of Semiparametric Multiresponse Multigroup Truncated Spline Regression for Rice Pest Control

Cauchy: Jurnal Matematika Murni dan Aplikasi
Rice 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, Adji Achmad Rinaldo Fernandes, Ni Wayan Surya Wardhani   +2 more
doaj   +1 more source

Semiparametric latent factor models. [PDF]

, 2016
We propose a semiparametric model for regression problems involving multiple response variables. The model makes use of a set of Gaussian processes that are linearly mixed to capture dependencies that may exist among the response variables. We propose an efficient approximate inference scheme for this semiparametric model whose complexity is linear in ...
Teh, Y, Seeger, M, Jordan, M
openaire   +1 more source

The Political U: New Evidence on the Economic Costs of Hybrid Regimes

Economics &Politics, EarlyView.
ABSTRACT Recent research establishes a positive causal effect from democracy to income, although this evidence relies mostly on binary regime classifications. We extend the identification framework of Acemoglu et al. (2019) to a classification that distinguishes democracies, autocracies, and hybrid regimes for about 170 countries over 1960–2024.
Nauro F. Campos, Fabrizio Coricelli, Marco Frigerio   +2 more
wiley   +1 more source

Semiparametric Semivariogram Modeling with a Scaling Criterion for Node Spacing: A Case Study of Solar Radiation Distribution in Thailand

Mathematics, 2020
Geostatistical interpolation methods, sometimes referred to as kriging, have been proven effective and efficient for the estimation of target quantity at ungauged sites.
Sompop Moonchai, Nawinda Chutsagulprom
doaj   +1 more source

An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples

International Statistical Review, EarlyView.
Summary The main issue with non‐probability samples is that the standard design‐based approach cannot be applied as the selection mechanism is unknown. In this paper, the concept of uncertainty on data generating model, resulting from the lack of knowledge of the sampling design acting in the non‐probability sample, is discussed.
Pier Luigi Conti, Daniela Marella
wiley   +1 more source