Search Results - "Sample selection"

Journal Article

Sample selection models with monotone control functions

by Liu, Ruixuan Yu, Zhengfei Published in Journal of econometrics (01.06.2021)

“...The celebrated Heckman selection model yields a selection correction function (control function) proportional to the inverse Mills ratio, which is monotone...”

Journal Article

Supermarkets, Farm Household Income, and Poverty: Insights from Kenya

by Rao, Elizaphan J.O Qaim, Matin Published in World development (2011)

“...The expansion of supermarkets in developing countries may have important implications for poverty and rural development. While previous studies have compared...”

Journal Article

Estimating panel data models in the presence of endogeneity and selection

by Semykina, Anastasia Wooldridge, Jeffrey M Published in Journal of econometrics (2010)

“...We consider estimation of panel data models with sample selection when the equation of interest contains endogenous explanatory variables as well as unobserved...”

Journal Article

Sample selection bias and Heckman models in strategic management research

by Certo, S. Trevis Busenbark, John R Woo, Hyun-soo Semadeni, Matthew Published in Strategic management journal (01.12.2016)

“...Research summary: The use of Heckman models by strategy scholars to resolve sample selection bias has increased by more than 700 percent over the last decade,...”

Journal Article

Cost-efficient unsupervised sample selection for multivariate calibration

by Fonseca Diaz, Valeria De Ketelaere, Bart Aernouts, Ben Saeys, Wouter Published in Chemometrics and intelligent laboratory systems (15.08.2021)

“...Indirect quantification of chemical composition through spectral measurements requires the establishment of multivariate calibration models. The reference...”

Journal Article

Nonseparable sample selection models with censored selection rules

by Fernández-Val, Ivan van Vuuren, Aico Vella, Francis Published in Journal of econometrics (2021)

“...We consider identification and estimation of nonseparable sample selection models with censored selection rules. We employ a control function approach and...”

Journal Article

A theory of learning from different domains

by Ben-David, Shai Blitzer, John Crammer, Koby Kulesza, Alex Pereira, Fernando Vaughan, Jennifer Wortman Published in Machine learning (23.10.2009)

“...Discriminative learning methods for classification perform well when training and test data are drawn from the same distribution. Often, however, we have...”

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Journal Article

The length of stay in tourism

by Barros, Carlos Pestana Machado, Luis Pinto Published in Annals of tourism research (2010)

“...Economic theory generally treats the duration of a vacation as a constraint on demand imposed by available time. In contrast, in this paper, it is shown that...”

Journal Article

A novel heterogeneous training sample selection method on space-time adaptive processing

by Wang, Qiang Zhang, Yongshun Guo, Yiduo
edited by Ke, Jianfeng Yang, Can Liu, Lin
Published in AIP conference proceedings (18.04.2018)

“...The performance of ground target detection about space-time adaptive processing (STAP) decreases when non-homogeneity of clutter power is caused because of...”

Journal Article

Correcting for sample selection bias in Bayesian distributional regression models

by Wiemann, Paul F.V Klein, Nadja Kneib, Thomas Published in Computational statistics & data analysis (01.10.2021)

“...In the presence of non-randomly selected samples, many statistical models, including standard regression models, can fail. In particular, without accounting...”

Journal Article

Copula based generalized additive models for location, scale and shape with non-random sample selection

by Wojtyś, Małgorzata Marra, Giampiero Radice, Rosalba Published in Computational statistics & data analysis (01.11.2018)

“...Non-random sample selection is a commonplace amongst many empirical studies and it appears when an output variable of interest is available only for a...”

Journal Article

A trivariate Gaussian copula stochastic frontier model with sample selection

by Liu, Jianxu Sriboonchitta, Songsak Wiboonpongse, Aree Denœux, Thierry Published in International journal of approximate reasoning (01.10.2021)

“...We propose a new stochastic frontier model with sample selection, in which the dependencies between the sample selection mechanism, the inefficiency term and...”

Journal Article

Active learning in multimedia annotation and retrieval: A survey

by Wang, Meng Hua, Xian-Sheng Published in ACM transactions on intelligent systems and technology (01.02.2011)

“...Active learning is a machine learning technique that selects the most informative samples for labeling and uses them as training data. It has been widely...”

Journal Article

Credit rationing and relationship lending. Does firm size matter?

by Cenni, Stefano Monferrà, Stefano Salotti, Valentina Sangiorgi, Marco Torluccio, Giuseppe Published in Journal of banking & finance (01.04.2015)

“...Using survey based data, we investigate factors influencing credit rationing within a bank-based financial system. We show that rationing depends on various...”

Journal Article

Dating tsunami deposits: Present knowledge and challenges

by Ishizawa, Takashi Goto, Kazuhisa Yokoyama, Yusuke Goff, James Published in Earth-science reviews (01.01.2020)

“...Dating approaches for fine sediment tsunami deposits can be divided into two categories: (1) dating directly using materials from within a tsunami deposit, and...”

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