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Estimating the aboveground biomass and wood volume of savanna woodlands in Brazil's Pantanal wetlands based on allometric correlations
(Elsevier B.V., 2006-06-15)
The quantity and distribution of vegetal biomass are important aspects to consider in ecosystem studies. However, little information is available about Brazil's Pantanal woodland savannas. This work involved the development ...
Conditional vs Unconditional Quantile Regression Models: A Guide to Practitioners
(Pontificia Universidad Católica del PerúPE, 2022)
American option pricing with machine learning: An extension of the Longstaff-Schwartz method
(Lociedade Brasileira de Finanças, 2021)
Spatial Pattern Recognition of Urban Sprawl Using a Geographically Weighted Regression for Spatial Electric Load Forecasting
(Ieee, 2015-01-01)
Distribution utilities must perform forecasts in spatial manner to determine the locations that could increase their electric demand. In general, these forecasts are made in the urban area, without regard to the preferences ...
Spatial pattern recognition of urban sprawl using a geographically weighted regression for spatial electric load forecasting
(2015-11-10)
Distribution utilities must perform forecasts in spatial manner to determine the locations that could increase their electric demand. In general, these forecasts are made in the urban area, without regard to the preferences ...
Bayesian first order auto-regressive latent variable models for multiple binary sequences
(SAGE PUBLICATIONS LTD, 2011)
Longitudinal clinical trials often collect long sequences of binary data monitoring a disease process over time. Our application is a medical study conducted in the US by the Veterans Administration Cooperative Urological ...
Oedometer consolidation test analysis by nonlinear regression
(Amer Soc Testing MaterialsW ConshohockenEUA, 2008)
A Bayesian Semiparametric Approach for Solving the Discrete Calibration Problem
(TAYLOR & FRANCIS INC, 2010)
In this article, we introduce a semi-parametric Bayesian approach based on Dirichlet process priors for the discrete calibration problem in binomial regression models. An interesting topic is the dosimetry problem related ...