G. Roussas

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Nonparametric regression estimation under mixing conditions

G. Roussas, 1990 .

A first course in mathematical statistics

G. Roussas, M. Iosifescu, 1976 .

Nonparametric estimation in mixing sequences of random variables

G. Roussas, 1988 .

Nonparametric functional estimation and related topics

Related Topics, G. Roussas, 1991 .

Nonparametric estimation in Markov processes

G. Roussas, 1969 .

Nonparametric Estimation of the Transition Distribution Function of a Markov Process

G. Roussas, 1969 .

A course in mathematical statistics

G. Roussas, 1997 .

Asymptotic Inference in Markov Processes

G. Roussas, 1965 .

Hájek–Inagaki representation theorem, under a general stochastic processes framework, based on stopping times

G. Roussas, D. Bhattacharya, 2008 .

Limiting Experiments and Asymptotic Bounds on the Performance of Sequence of Estimators

G. Roussas, D. Bhattacharya, 2017 .

Revisiting Local Asymptotic Normality (LAN) and Passing on to Local Asymptotic Mixed Normality (LAMN) and Local Asymptotic Quadratic (LAQ) Experiments

G. Roussas, D. Bhattacharya, 2011 .

Asymptotic Behavior of the Log-Likelihood Function in Stochastic Processes when Based on a Random Number of Random Variables

G. Roussas, D. Bhattacharya, 1999 .

Consistent regression estimation with fixed design points under dependence conditions

George G. Roussas, G. Roussas, 1989 .

Fixed design regression for time series: asymptotic normality

George G. Roussas, Lanh Tat Tran, D. A. Ioannides, 1992 .

Asymptotic normality of random fields of positively or negatively associated processes

George G. Roussas, G. Roussas, 1994 .

Berry-esseen bounds for smooth estimator of a distribution function under association

Zongwu Cai, George G. Roussas, G. Roussas, 1999 .

Asymptotic normality of the kernel estimate of a probability density function under association

George G. Roussas, G. Roussas, 2000 .

Exponential probability inequalities with some applications

George G. Roussas, G. Roussas, 1996 .

Topics from Ergodic Theory

George Roussas, G. Roussas, 2014 .

Asymptotic normality of the maximum likelihood estimate in the independent not identically distributed case

Andreas N. Philippou, George G. Roussas, G. Roussas, 1975 .

Some Aspects of Statistical Inference in a Markovian and Mixing Framework

G. Roussas, 2005 .

Exact rates of almost sure convergence of a recursive kernel estimate of a probability densiy function: Application to regression and hazard rate estimation

George G. Roussas, G. Roussas, 1992 .

Asymptotic normality of the kernel estimate under dependence conditions: application to hazard rate

G. Roussas, 1990 .

Hazard rate estimation under dependence conditions

G. Roussas, 1989 .

Recursive estimation of the transition distribution function of a Markov process: A symptotic normality

George G. Roussas, G. Roussas, 1991 .

Asymptotic Distribution of the Likelihood Function in the Independent not Identically Distributed Case

Andreas N. Philippou, George G. Roussas, G. Roussas, 1973 .

Asymptotic expansion of the log-likelihood function based on stopping times defined on a Markov process

M. Akritas, G. Roussas, 1979 .

Hájek-Inagaki convolution representation theorem for randomly stopped locally asymptotically mixed normal experiments

G. Roussas, D. Bhattacharya, 2009 .

Joint asymptotic normality of kernel estimates under dependence conditions, with application to hazard rate

G. Roussas, L. Tran, 1992 .

A Remark on Quadratic Mean Differentiability

Bruce A. Lind, G. Roussas, 1972 .

On Conditional Independence, Mixing, and Association

G. Roussas, 2008 .

Some Asymptotic Results and Exponential Approximation in Semi-Markov Models

G. Roussas, D. Bhattacharya, 1999 .

Contiguity of probability measures: some applications in statistics: Asymptotic expansion and asymptotic distribution of likelihood functions

G. Roussas, 1972 .

A note on the multivariate logarithmic series distribution

Andreas N. Philippou, G. Roussas, 1974 .

Estimation of a certain functional of a probability density function

G. Roussas, G. Bhattacharyya, 1969 .

Minimum distance regression-type estimates with rates under weak dependence

Y. Yatracos, G. Roussas, 1996 .

Asymptotic Inference in Continuous Time Markov Processes

M. Akritas, G. Roussas, 1980 .

An Introduction to Probability and Statistical Inference

George G. Roussas, G. Roussas, 2011 .

Asymptotic normality of the recursive kernel regression estimate under dependence conditions

George G. Roussas, Lanh Tat Tran, G. Roussas, 1992 .

Kaplan-Meier Estimator under Association

G. Roussas, Z. Cai, 1998 .

Extension to Markov processes of a result by A. Wald about the consistency of the maximum likelihood estimate

George G. Roussas, G. Roussas, 1965 .

Cramér-type conditions and quadratic mean differentiability

Bruce A. Lind, G. Roussas, 1977 .

Asymptotically Optimal Tests in Markov Processes

Richard A. Johnson, G. Roussas, 1970 .

Asymptotically Most Powerful Tests in Markov Processes

Richard A. Johnson, G. Roussas, 1969 .

Time series, fuzzy analysis and miscellaneous topics

G. Roussas, M. Puri, M. Hallin, 2003 .

A Tribute to David Blackwell

G. Roussas, 2011 .

Fixed-design regression for linear time series

S. Yakowitz, G. Roussas, L. Tran, 1996 .

Moment inequalities for mixing sequences of random variables

George G. Roussas, D. A. Ioannides, G. Roussas, 1987 .

On the exponential approximation of a family of probability measures and a representation theorem of Hájek-Inagaki

G. Roussas, A. Soms, 1973 .

Some applications of the asymptotic distribution of likelihood functions to the asymptotic efficiency of estimates

G. Roussas, 1968 .

On the convergence rate of fixed design regression estimators for negatively associated random variables

G. Roussas, L. Tran, Wentao Gu, 2007 .

Kernel estimates under association: strong uniform consistency

George G. Roussas, G. Roussas, 1991 .

Contiguity of probability measures: some applications in statistics: Preface

George G. Roussas, G. Roussas, 1972 .

An Esseen-type inequality for probability density functions, with an application

G. Roussas, 2001 .

Estimation of Transition Distribution Function and its Quantiles in Markov Processes: Strong Consistency and Asymptotic Normality

George G. Roussas, G. Roussas, 1991 .

Asymptotic properties of the maximum probability estimates in Markov processes

G. Roussas, 1977 .

Asymptotic normality of the maximum likelihood estimate in Markov processes

G. Roussas, 1969 .

Prediction Under Association

G. Roussas, 2000 .

Asymptotic distribution of the log-likelihood function for stochastic processes

G. Roussas, 1979 .

Sample size, parameter rates and contiguity the I.I.D. case

M. Akritas, G. Roussas, M. Puri, 1979 .

Asymptotics in statistics and probability : papers in honor of George Gregory Roussas

G. Roussas, M. Puri, 2000 .

Weak convergence for smooth estimator of a distribution function under negative association

G. Roussas, Z. Cai, 1999 .

Exponential inequality for associated random variables

G. Roussas, D. Ioannides, 1999 .

Uniform strong estimation under α-mixing, with rates

G. Roussas, Z. Cai, 1992 .

Smooth estimate of quantiles under association

G. Roussas, Z. Cai, 1997 .

Asymptotic normality of a smooth estimate of a random field distribution function under association

G. Roussas, 1995 .

Some Special Distributions

G. Roussas, 2014 .

Contiguity of probability measures: some applications in statistics: Multiparameter asymptotically optimal tests

G. Roussas, 1972 .