P. Burman

发表

A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods

P. Burman, 1989 .

Semiparametric modeling of autonomous nonlinear dynamical systems with application to plant growth

Jie Peng, Debashis Paul, Prabir Burman, 2011, 1111.7089.

A cross-validatory method for dependent data

Edmond Chow, Deborah Nolan, Prabir Burman, 1994 .

A non-parametric approach for independent component analysis using kernel density estimation

K. Sengupta, P. Burman, Rajeev Sharma, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

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

Debashis Paul, Prabir Burman, Jung Won Hyun, 2012 .

Rate of convergence of the spline estimates for Markov chains

P. Burman, 1989 .

DATA‐DEPENDENT ESTIMATION OF PREDICTION FUNCTIONS

D. Nolan, P. Burman, 1992 .

Nonparametric Estimation of a Regression Function

Prabir Burman, Keh-Wei Chen, P. Burman, 1989 .

Exploratory Analysis and Modeling of Stock Returns

A. Aue, P. Burman, Kimihiro Noguchi, 2016 .

Regression function estimation from dependent observations

P. Burman, 1991 .

Diet of Florida coyotes in a protected wildland and suburban habitat

P. Burman, S. Harper, M. Grigione, 2011, Urban Ecosystems.

RATES OF CONVERGENCE FOR THE ESTIMATES OF THE OPTIMAL TRANSFORMATIONS OF VARIABLES

P. Burman, 1991 .

The diet of coyotes and red foxes in Southern New York

P. Burman, M. Grigione, R. Sarno, 2020, Urban Ecosystems.

The diet of coyotes and red foxes in Southern New York

P. Burman, M. Grigione, R. Sarno, 2020, Urban Ecosystems.

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

D. Paul, P. Burman, J. Hyun, 2018, Sankhya B.

ESTIMATION OF TREND IN STATE-SPACE MODELS: ASYMPTOTIC MEAN SQUARE ERROR AND RATE OF CONVERGENCE

R. Shumway, P. Burman, 2009, 0911.3469.

Generalized Exponential Predictors for Time Series Forecasting

R. Shumway, P. Burman, 2006 .

Smooth predictive model fitting in regression

Debashis Paul, Prabir Burman, D. Paul, 2017, J. Multivar. Anal..

Seasonal Patterns of Female Homalodisca coagulata (Say) (Hemiptera: Cicadellidae) Reproductive Physiology in Riverside, California

P. Burman, F. Zalom, N. Toscano, 2006 .

Soil Microbiomes Associated with Verticillium Wilt-Suppressive Broccoli and Chitin Amendments are Enriched with Potential Biocontrol Agents.

P. Burman, P. Inderbitzin, K. Subbarao, 2018, Phytopathology.

Phenological and phytochemical changes correlate with differential interactions of Verticillium dahliae with broccoli and cauliflower.

W. Polonik, P. Burman, G. Vallad, 2011, Phytopathology.

Multivariate mode hunting: Data analytic tools with measures of significance

Prabir Burman, Wolfgang Polonik, W. Polonik, 2009, J. Multivar. Anal..

Effect of Water Stress on Cortical Cell Division Rates within the Apical Meristem of Primary Roots of Maize

P. Burman, W. Silk, M. Sacks, 1997, Plant physiology.

Assessment of Insulin Resistance and Metabolic Syndrome in Drug Naive Patients of Bipolar Disorder

P. Burman, K. Bhowmick, M. Ghosal, 2013, Indian Journal of Clinical Biochemistry.

A comparative study between enteric parasites of Coyotes in a protected and suburban habitat

P. Burman, S. Harper, M. Grigione, 2014, Urban Ecosystems.

Least Committed Splines in 3D Modelling of Free Form Objects from Intensity Images

Kuntal Sengupta, Sumit Gupta, Prabir Burman, 2002, Journal of Mathematical Imaging and Vision.

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

Kuntal Sengupta, Prabir Burman, K. Sengupta, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Nonparametric estimation of dynamics of monotone trajectories

D. Paul, Jie Peng, P. Burman, 2014, 1408.5339.

Estimation of generalized additive models

Prabir Burman, P. Burman, 1990 .

Location-adaptive density estimation and nearest-neighbor distance

Deborah Nolan, Prabir Burman, D. Nolan, 1992 .

Some Issues in Cross-Validation

Deborah Nolan, Prabir Burman, D. Nolan, 1991 .

Cognitive dysfunction in stroke survivors: a community-based prospective study from Kolkata, India.

P. Burman, B. Ray, A. Hazra, 2013, Journal of Stroke & Cerebrovascular Diseases.

Approximate singular values of the fractional difference and summation operators

P. Burman, 2006 .

Methods Based on Likelihood and Their Asymptotic properties

P. K. Bhattacharya, P. Burman, 2016 .

MODEL FITTING VIA TESTING

Prabir Burman, P. Burman, 1996 .

Cultivation practices of kalmegh (Andrographis paniculata) and spiderling (Boerhaavia diffusa) in Assam, India.

P. Burman, V. Singh, R. Singh, 2002 .

Central limit theorem for quadratic forms for sparse tables

P. Burman, 1987 .

Semiparametric Estimation in the Multivariate Liouville Model

P. K. Bhattacharya, P. Burman, 1998 .

Comparing simple respiration models for eddy flux and dynamic chamber data

E. Davidson, K. Savage, S. Wofsy, 2006 .

Identifying individual mountain lions Felis concolor by their tracks: refinement of an innovative technique

P. Burman, V. Bleich, B. Pierce, 1999 .

Point Estimation in Parametric Models

P. K. Bhattacharya, P. Burman, 2016 .

Assessment of Insulin Resistance and Metabolic Syndrome in Drug Naive Patients of Bipolar Disorder

P. Burman, K. Bhowmick, M. Ghosal, 2012, Indian Journal of Clinical Biochemistry.

What is Revealed in a Mountain Lion's Heel: Using Heel Shape to Ascertain Identity

P. Burman, 2000 .

On some testing problems for sparse contingency tables

P. Burman, 2004 .

Semiparametric modeling of autonomous nonlinear dynamical systems with applications

Jie Peng, Debashis Paul, Prabir Burman, 2009, 0906.3501.

Sharp bounds for singular values of fractional integral operators

P. Burman, 2007 .

Semiparametric Modeling of Seasonal Time Series

Robert H. Shumway, Prabir Burman, R. Shumway, 1998 .

Online Supplementary Material to “Exploratory Analysis and Modeling of Stock Returns”

A. Aue, P. Burman, Kimihiro Noguchi, 2014 .

A data dependent approach to density estimation

P. Burman, 1985 .

A general Akaike-type criterion for model selection in robust regression

Deborah Nolan, Prabir Burman, D. Nolan, 1995 .

Correlation between intermetallic thickness and roughness during solder reflow

P. Burman, K. Siow, S. Lahiri, 2001 .

On a Hybrid Approach to Parametric and Nonparametric Regression

P. Chaudhuri, P. Burman, 2011 .

Correlates of functional outcome among stroke survivors in a developing country--a prospective community-based study from India.

P. Burman, B. Ray, A. Hazra, 2014, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

Correlates of Functional Out come among Stroke Survivors in a Developing Country – A Prospective Community-based Study from India Malay

P. Burman, B. Ray, A. Hazra, 2014 .

Can We Do More With Less While Building Predictive Models? A Study in Parsimony of Risk Models for Predicting Heart Failure Readmissions.

Amey S. Mahajan, P. Burman, P. Heidenreich, 2019, Computers, informatics, nursing : CIN.

A non-parametric approach for independent component analysis using kernel density estimation

Kuntal Sengupta, Rajeev Sharma, Prabir Burman, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Infinite Sequences of Random Variables and Their Convergence Properties

P. K. Bhattacharya, P. Burman, 2016 .

Distribution-Free Tests for Hypothesis Testing in Nonparametric Families

P. K. Bhattacharya, P. Burman, 2016 .