Search Results - "Burman, Prabir"

On the asymptotic risk of ridge regression with many predictors.

Authors: Balasubramanian, Krishnakumar Burman, Prabir Paul, Debashis

Source: Indian Journal of Pure & Applied Mathematics. Sep2024, Vol. 55 Issue 3, p1040-1054. 15p.

A HILBERT-TYPE INEQUALITY FOR FOURIER COEFFICIENTS.

Authors: BURMAN, PRABIR¹ pburman@ucdavis.edu

Source: Mathematical Inequalities & Applications. Jul2024, Vol. 27 Issue 3, p519-528. 10p.

Estimation of prediction error in time series.

Authors: Aue, Alexander Burman, Prabir

Source: Biometrika. Jun2024, Vol. 111 Issue 2, p643-660. 18p.

Local Linear Estimation for Spatial Random Processes with Stochastic Trend and Stationary Noise.

Authors: Hyun, Jung Won Burman, Prabir Paul, Debashis

Source: Sankhya B. Nov2018, Vol. 80 Issue 2, p369-394. 26p.

A curve fitting problem and its application in modeling objects in monocular image sequences.

Authors: Sengupta, Kuntal Burman, Prabir

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; May 2002, Vol. 24 Issue 5, p674-686, 13p

This result is not displayed to guests.
Login for full access.

This result is not displayed to guests.
Login for full access.

Exploratory Analysis and Modeling of Stock Returns.

Authors: Noguchi, Kimihiro Aue, Alexander Burman, Prabir

Source: Journal of Computational & Graphical Statistics; Apr-Jun2016, Vol. 25 Issue 2, p363-381, 19p

Diet of Florida coyotes in a protected wildland and suburban habitat.

Authors: Grigione, Melissa Burman, Prabir Clavio, Sarah et al.

Source: Urban Ecosystems. Nov2011, Vol. 14 Issue 4, p655-663. 9p.

Semiparametric Modeling of Seasonal Time Series.

Authors: Burman, Prabir Shumway, Robert H.

Source: Journal of Time Series Analysis. Mar1998, Vol. 19 Issue 2, p127. 19p.

Smooth predictive model fitting in regression.

Authors: Burman, Prabir Paul, Debashis

Source: Journal of Multivariate Analysis. Mar2017, Vol. 155, p165-179. 15p.

Subjects: Statistical smoothing, Prediction models, Regression analysis, Stochastic convergence, Gaussian processes

Benchmarking M6 competitors: An analysis of financial metrics and discussion of incentives.

Authors: Schneider, Matthew J. Rankin, Rufus Burman, Prabir et al.

Source: International Journal of Forecasting. Oct2025, Vol. 41 Issue 4, p1383-1394. 12p.

This result is not displayed to guests.
Login for full access.

A Curve Fitting Problem and Its Application Modeling Objects in Monocular Image Sequences.

Authors: Sengupta, Kuntal Burman, Prabir

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence. May2002, Vol. 24 Issue 5, p674. 13p. 6 Color Photographs, 2 Black and White Photographs, 3 Diagrams, 1 Chart, 7 Graphs.

Subjects: Curve fitting, Imaging systems

Sharp bounds for singular values of fractional integral operators

Authors: Burman, Prabir¹ burman@wald.ucdavis.edu

Source: Journal of Mathematical Analysis & Applications. Mar2007, Vol. 327 Issue 1, p251-256. 6p.

Subjects: Integrals, Integral operators, Operator theory, Mathematics

Approximate singular values of the fractional difference and summation operators

Authors: Burman, Prabir¹ burman@wald.ucdavis.edu

Source: Linear Algebra & its Applications. Jul2006, Vol. 416 Issue 2/3, p677-687. 11p.

Subjects: Matrices (Mathematics), Eigenvalues, Linear operators, Universal algebra

Multivariate mode hunting: Data analytic tools with measures of significance

Authors: Burman, Prabir Polonik, Wolfgang

Source: Journal of Multivariate Analysis. Jul2009, Vol. 100 Issue 6, p1198-1218. 21p.

Subjects: Mathematical statistics, Multivariate analysis, Statistics, Hypothesis

On some testing problems for sparse contingency tables

Authors: Burman, Prabir¹ burman@wald.ucdavis.edu

Source: Journal of Multivariate Analysis. Jan2004, Vol. 88 Issue 1, p1. 18p.

Subjects: Statistics, Hypothesis

A regression approach for estimating the parameters of the covariance function of a stationary spatial random process

Authors: Hyun, Jung Won Burman, Prabir Paul, Debashis

Source: Journal of Statistical Planning & Inference. Aug2012, Vol. 142 Issue 8, p2330-2344. 15p.

Subjects: Parameter estimation, Analysis of covariance, Stochastic processes, Regression analysis, Maximum likelihood statistics, Statistical correlation

Generalized Exponential Predictors for Time Series Forecasting.

Authors: Burman, Prabir Shumway, Robert H.

Source: Journal of the American Statistical Association. Dec2006, Vol. 101 Issue 476, p1598-1606. 9p.