Results 61 to 70 of about 6,937 (202)

A Semiparametric Model for Hyperspectral Anomaly Detection [PDF]

open access: yesJournal 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   +2 more sources

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

open access: yesEconomics &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   +2 more
wiley   +1 more source

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

open access: yesStatistical 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

open access: yesMathematics, 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

Demand Shocks, Export Diversification, and Firm Performance During the Great Trade Collapse

open access: yesJournal of Economics &Management Strategy, EarlyView.
ABSTRACT This paper analyzes the impact of external demand shocks from the 2008 to 2009 Great Trade Collapse on the performance of Chinese exporters and examines how export diversification mitigates these effects. Using Chinese Customs data merged with financial data from all listed Chinese firms, we construct firm‐specific demand shocks based on pre ...
Qianlin Hong   +3 more
wiley   +1 more source

Personalized treatment selection via the covariate-specific treatment effect curve for longitudinal data

open access: yesStatistical Theory and Related Fields, 2021
Treatment selection based on patient characteristics has been widely recognised in modern medicine. In this paper, we propose a generalised partially linear single-index mixed-effects modelling strategy for treatment selection and heterogeneous treatment
Yanghui Liu   +3 more
doaj   +1 more source

Mixing It Up: Inflation at Risk

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley   +1 more source

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

open access: yesCauchy: 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   +2 more
doaj   +1 more source

Robust CDF‐Filtering of a Location Parameter

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania   +2 more
wiley   +1 more source

Longitudinal Survival Analysis Using First Hitting Time Threshold Regression: With Applications to Wiener Processes

open access: yesStats
First-hitting time threshold regression (TR) is well-known for analyzing event time data without the proportional hazards assumption. To date, most applications and software are developed for cross-sectional data. In this paper, using the Markov property
Ya-Shan Cheng   +2 more
doaj   +1 more source

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