Results 81 to 90 of about 13,851,275 (245)
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
doaj +1 more source
Optimizing patrol time in crime hot spots: Replicating the “Koper Curve”
Criminology &Public Policy, EarlyView.Abstract Research Summary In a study published more than 30 years ago, Koper found that patrol visits to crime hot spots were most effective in deterring crime and disorder when they were 11–15 min in length. This finding, popularly known as the “Koper Curve,” has had a substantial influence on police practice and research.
Christopher S. Koper +2 more
wiley +1 more source
Semiparametric penalty function method in partially linear model selection [PDF]
Model selection in nonparametric and semiparametric regression is of both theoretical and practical interest. Gao and Tong (2004) proposed a semiparametric leave–more–out cross–validation selection procedure for the choice of both the parametric and ...
Gao, Jiti, Dong, Chaohua, Tong, Howell
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Semiparametric optimal estimation with nonignorable nonresponse data [PDF]
, 2021 When the response mechanism is believed to be not missing at random (NMAR), a valid analysis requires stronger assumptions on the response mechanism than standard statistical methods would otherwise require.
Kim, Jae Kwang, Morikawa, Kosuke
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Managing Procurement Auction Failure: Bid Requirements or Reserve Prices?
The RAND Journal of Economics, EarlyView.ABSTRACT This paper examines bid requirements, where the government may cancel a procurement contract unless two or more bids are received. Using a first‐price auction model with endogenous entry, we compare the bid requirement and reserve price mechanisms in terms of auction failure and procurement costs.
Jun Ma, Vadim Marmer, Pai Xu
wiley +1 more source
A Bayesian semiparametric latent variable model for mixed responses [PDF]
, 2006 In this article we introduce a latent variable model (LVM) for mixed ordinal and continuous responses, where covariate effects on the continuous latent variables are modelled through a flexible semiparametric predictor. We extend existing LVM with simple
Raach, Alexander, Fahrmeir, Ludwig
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Detection of Influential Observations in Semiparametric Regression Model
Revista Colombiana de Estadística, 2013 In this article, we consider the semiparametric regression model and examine influential observations which have undue effects on the estimators for this model.
SEMRA TÜRKAN, ÖNIZ TOKTAMIS
doaj
Semiparametric latent factor models.
, 2005 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, Yee-Whye +2 more
openaire +4 more sources
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 +2 more
wiley +1 more source
On a semiparametric survival model with flexible covariate effect. [PDF]
A semiparametric hazard model with parametrized time but general covariate dependency is formulated and analyzed inside the framework of counting process theory. A profile likelihood principle is introduced for estimation of the parameters: the resulting
Nielsen, Jens P. +2 more
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