Results 11 to 20 of about 425,331 (287)
Stochastic Tree Ensembles for Regularized Nonlinear Regression [PDF]
Journal of the American Statistical Association, 2021 This paper develops a novel stochastic tree ensemble method for nonlinear regression, which we refer to as XBART, short for Accelerated Bayesian Additive Regression Trees. By combining regularization and stochastic search strategies from Bayesian modeling with computationally efficient techniques from recursive partitioning approaches, the new method ...
Jingyu He, P. Richard Hahn
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Generalized Stochastic Restricted LARS Algorithm
Ruhuna Journal of Science, 2022 The Least Absolute Shrinkage and Selection Operator (LASSO) is used to tackle both the multicollinearity issue and the variable selection concurrently in the linear regression model.
Manickavasagar Kayanan +1 more
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Study of wind speed and relative humidity using stochastic technique in a semi-arid climate region
AIMS Environmental Science, 2020 This paper deals with the stochastic analysis of wind speed based on relative humidity data. We propose a stochastic regression technique to estimate the time-varying parameters of wind speed in a semi-arid climate region.
Suhail Mahmud +3 more
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Modeling and Calibration for Some Stochastic Differential Models
Fractal and Fractional, 2022 In many scientific fields, the dynamics of the system are often known, and the main challenge is to estimate the parameters that model the behavior of the system.
Abdelmalik Moujahid, Fernando Vadillo
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Entropy-Randomized Forecasting of Stochastic Dynamic Regression Models
Mathematics, 2020 We propose a new forecasting procedure that includes randomized hierarchical dynamic regression models with random parameters, measurement noises and random input.
Yuri S. Popkov +3 more
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Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station, Heihe River Basin, China [PDF]
Frontiers of Agricultural Science and Engineering, 2017 Investigating long-term variation and prediction of streamflow are critical to regional water resource management and planning. Under the continuous influence of climate change and human activity, the trends of hydrologic time series are nonstationary ...
Chenglong ZHANG,Mo LI,Ping GUO
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FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction
Sensors, 2020 The implementation of neural network regression prediction based on digital circuits is one of the challenging problems in the field of machine learning and cognitive recognition, and it is also an effective way to relieve the pressure of the Internet in
Yunqi Gao +4 more
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Stochastic Restricted LASSO-Type Estimator in the Linear Regression Model
Journal of Probability and Statistics, 2020 Among several variable selection methods, LASSO is the most desirable estimation procedure for handling regularization and variable selection simultaneously in the high-dimensional linear regression models when multicollinearity exists among the ...
Manickavasagar Kayanan +1 more
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Weighted Mixed Regression Estimation Under Biased Stochastic Restrictions [PDF]
, 2007 The paper considers the construction of estimators of regression coefficients in a linear regression model when some stochastic and biased apriori information is available. Such apriori information is framed as stochastic restrictions.
---, Shalabh, Heumann, Christian
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Frontiers in Applied Mathematics and Statistics, 2021 The COVID-19 pandemic has had worldwide devastating effects on human lives, highlighting the need for tools to predict its development. The dynamics of such public-health threats can often be efficiently analyzed through simple models that help to make ...
P.L. de Andres +2 more
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