Results 61 to 70 of about 13,851,275 (245)

A Semiparametric Model for Hyperspectral Anomaly Detection [PDF]

Journal of Electrical and Computer Engineering, 2012
Using hyperspectral (HS) technology, this paper introduces an autonomous scene anomaly detection approach based on the asymptotic behavior of a semiparametric model under a multisample testing and minimum‐order statistic scheme. Scene anomaly detection has a wide range of use in remote sensing applications, requiring no specific material signatures ...
openaire   +3 more sources

Risk Forecasting in Shipping Exchange‐Traded‐Fund (ETF) Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT This article examines the risk properties of freight‐derivative‐based exchange‐traded funds (ETFs), focusing on the Breakwave Dry Bulk Shipping ETF (BDRY), and evaluates the accuracy of Value‐at‐Risk (VaR) and Expected Shortfall (ES) forecasts across a range of econometric models.
Christos Katris, Manolis G. Kavussanos, Stergiani (Stella) A. Moysiadou   +2 more
wiley   +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

Economies of Scale to Consumption in Collective Households

Journal of Applied Econometrics, EarlyView.
ABSTRACT Browning et al. (2013) model collective‐household economies of scale in goods consumption by having each good be partly shared, instead of each good being public or private. We modify their model to achieve simple point identification and estimation of the economies of scale of consumption of each good, and we provide a new index of household ...
Hsin‐Yuan Hsieh, Arthur Lewbel, Krishna Pendakur   +2 more
wiley   +1 more source

Heterogeneous effects of donor‐related risk factors in 954 pediatric liver transplantations

Journal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Accepting a suitable donor for a child awaiting pediatric liver transplantation (pLT) is increasingly challenging. Donor‐specific risk factors influence post‐transplant outcomes, but evidence in pediatric patients remains inconsistent.
Christoph Leiskau, Norman Junge, Tobias Laue, Imeke Goldschmidt, Frauke E. Mutschler, Moritz Schmelzle, Nicolas Richter, Philipp Felgendreff, Cornelius J. van Beekum, Florian W. R. Vondran, Clara A. Weigle, Eva‐D. Pfister, Ulrich Baumann   +12 more
wiley   +1 more source

Inference on semiparametric models with discrete regressors [PDF]

, 1993
We study statistical properties of coefficient estimates of the partially linear regression model when some or all regressors, in the unknown part of the model, are discrete. The method does not require smoothing in the discrete variables.
Delgado, Miguel A., Mora, Juan
core   +1 more source

Leveraging density ratio models in a binary instrumental variable inference with a binary outcome: A retrospective approach

Statistical Theory and Related Fields
Conditional Local Risk Ratio (CLRR) is a widely used metric for assessing heterogeneous treatment effects of binary outcomes in randomized clinical trials involving noncompliance.
Wenli Liu, Jing Qin, Yukun Liu
doaj   +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

Joint Analysis for Multivariate Longitudinal and Event Time Data With a Change Point Anchored at Interval‐Censored Event Time [PDF]

Stat Med
ABSTRACT Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder characterized by motor dysfunction, psychiatric disturbances, and cognitive decline. The onset of HD is marked by severe motor impairment, which may be predicted by prior cognitive decline and, in turn, exacerbate cognitive deficits. Clinical data, however, are often
Zhan Y, Zheng C, Zhang Y.
europepmc   +2 more sources

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