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BOOSTING ALGORITHMS:REGULARIZATION,PREDICTION AND MODEL FITTING
Generalized linear models Generalized additive models Gradient boosting Survival analysis Variable selection Software
2015/8/21
We present a statistical perspective on boosting. Special emphasis is given to estimating potentially complex parametric or nonparametric models, including generalized linear and additive models as we...
Comment:Boosting Algorithms:Regularization,Prediction and Model Fitting
Boosting Algorithms Regularization Prediction Model Fitting
2015/8/21
We congratulate the authors (hereafter BH) for an interesting take on the boosting technology, and for developing a modular computational environment in R for exploring their models. Their use of low-...
Convex piecewise-linear fitting
Convex optimization Piecewise-linear approximation Data fi tting
2015/8/10
We consider the problem of fitting a convex piecewise-linear function, with some specified form, to given multi-dimensional data. Except for a few special cases, this problem is hard to solve exactly,...
A distributed algorithm for fitting generalized additive models
Convex optimization Distributed optimization Generalized additive models
2015/8/7
Generalized additive models are an effective regression tool, popular in the statistics literature, that provide an automatic extension of traditional linear models to nonlinear systems. We pres...
Tractable fitting with convex polynomials via sum-of-squares
via sum-of-squares Tractable fitting
2015/6/19
We consider the problem of fitting given data with a convex polynomial. A technique to solve this problem using sum of squares polynomials is presented. This technique is extended to enforce convexity...
Fitting Longitudinal Data with Hierarchical Generalized Linear Models
H-likelihood L-N estimators Poisson-Gamma models
2015/3/18
We propose a class of hierarchical generalized linear models (HGLMs) with random dispersions in this paper, and focus on the properties of the L-N estimators for the fixed
effect β in the extended Po...
Using Band Ratio, Semi-Empirical, Curve Fitting, and Partial Least Squares (PLS) Models to Estimate Cyanobacterial Pigment Concentration from Hyperspectral Reflectance
phycocyanin chlorophyll band ratio MGM water quality
2015/1/16
This thesis applies several different remote sensing techniques to data collected from 2005 to 2007 on central Indiana reservoirs to determine the best performing algorithms in estimating the cyanobac...
Designing Optical Fibers: Fitting the Derivatives of a Nonlinear Pde-Eigenvalue Problem
Symmetric Indefinite Eigenvalue Gradient Optical Fiber Design
2013/1/30
When trying to fit data to functions of the eigensystem of a pde-eigenvalue problem, such as Maxwell’s equation, numerical differentiation is ineffective and analytic gradients must be supplied. In ou...
Fitting directed acyclic graphs with latent nodes as finite mixtures models, with application to education transmission
Extendedlatentclassmodels mixturemodels structuralequations causal inference
2012/11/22
This paper describes an efficient EM algorithm for maximum likelihood estimation of a system of nonlinear structural equations corresponding to a directed acyclic graph model that can contain an arbit...
SPIDER - V. Measuring Systematic Effects in Early-Type Galaxy Stellar Masses from Photometric SED Fitting
Measuring Systematic Effects Early-Type Galaxy Stellar Masses Photometric
2011/10/17
We present robust statistical estimates of the accuracy of early-type galaxy stellar masses derived from spectral energy distribution (SED) fitting as functions of various empirical and theoretical as...
Fitting dwarf galaxy rotation curves with conformal gravity
Fitting dwarf galaxy rotation curves conformal gravity
2011/10/20
We continue our study of the application of the conformal gravity theory to galactic rotation curves. Previously we had studied a varied 111 spiral galaxy sample consisting of high surface brightness ...
A global Monte-Carlo method for fitting parameters of differential equation models
global Monte-Carlo method fitting parameters Quantitative Methods
2011/10/8
Abstract: Finding the parameter values of differential equation models from data is an important part of the modelling process. Large models and sparse data often make the parameters very difficult to...
Exponential fitting of the damped wave equation
damped wave equation exponential fitting stability analysis
2010/9/26
Herein, the Control Region Approximation [1, 2] is applied to the damped wave equation both with and without exponential fitting [3]. It is shown that exponential fitting is advantageous as regards th...
Fitting galactic rotation curves with conformal gravity and a global quadratic potential
galactic rotation curves conformal gravity global quadratic potential
2010/12/21
We apply the conformal gravity theory to a sample of 110 spiral galaxies whose rotation curve
data points extend well beyond the optical disk. With no free parameters other than galactic mass to ligh...
A multiple threshold method for fitting the generalized Pareto distribution to rainfall time series
generalized Pareto distribution rainfall time series
2010/12/22
Previous studies indicate the generalized Pareto distribution (GPD) as a suitable distribution function to reliably describe the exceedances of daily rainfall records above a proper optimum threshold,...