Joan G. Staniswalis

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All published works

Action	Title	Year	Authors
+	Local principal differential analysis: Graphical methods for functional data with covariates	2015	Joan G. Staniswalis Christopher Dodoo Anu Sharma
+ PDF Chat	Principal differential analysis with a continuous covariate: low-dimensional approximations for functional data	2012	Seoweon Jin Joan G. Staniswalis Indika Mallawaarachchi
+ PDF Chat	Incorporating Marginal Covariate Information in a Nonparametric Regression Model for a Sample of <i>R</i>×<i>C</i> Tables	2008	Joan G. Staniswalis
+	On fitting generalized non-linear models with varying coefficients	2005	Joan G. Staniswalis
+	None	2001	Joan G. Staniswalis Peter F. Thall
+	Nonparametric Regression Analysis of Longitudinal Data	1998	Joan G. Staniswalis J. Jack Lee
+	Semiparametric Regression Analysis for Recurrent Event Interval Counts	1997	Joan G. Staniswalis Peter F. Thall J Salch
+	Addendum to “kernel estimators for multivariate regression”	1996	Joan G. Staniswalis Karen Messer
+	Correction to Severini and Staniswalis (1994): Quasi-Likelihood Estimation in Semiparametric Models	1994	Joan G. Staniswalis
+	Corrections	1994	Mary J. Lindstrom Douglas M. Bates Joan G. Staniswalis John E. Kolassa Martin A. Tanner
+	Estimation Given Conditionals from an Exponential Family	1994	Panagis G. Moschopoulos Joan G. Staniswalis
+	Quasi-Likelihood Estimation in Semiparametric Models	1994	Thomas A. Severini Joan G. Staniswalis
+	Quasi-likelihood Estimation in Semiparametric Models	1994	Thomas A. Severini Joan G. Staniswalis
+	On a data based power transformation for reducing skewness	1993	Joan G. Staniswalis Thomas A. Severini Panagis G. Moschopoulos
+	Kernel estimators for multivariate regression	1993	Joan G. Staniswalis Karen Messer David R. Finston
+	Locally adaptive smoothing splines	1992	Joan G. Staniswalis Brian S. Yandell
+	Diagnostics for Assessing Regression Models	1991	Joan G. Staniswalis Thomas A. Severini
+	Diagnostics for Assessing Regression Models	1991	Joan G. Staniswalis Thomas A. Severini
+	Correction: The Kernel Estimate of a Regression Function in Likelihood Based Models	1990	Joan G. Staniswalis
+	The Kernel Estimate of a Regression Function in Likelihood-Based Models	1989	Joan G. Staniswalis
+	Local Bandwidth Selection for Kernel Estimates	1989	Joan G. Staniswalis
+	The Kernel Estimate of a Regression Function in Likelihood-Based Models	1989	Joan G. Staniswalis
+	Local Bandwidth Selection for Kernel Estimates	1989	Joan G. Staniswalis
+ PDF Chat	A Statistical Approach to the Construction and Analysis of Isobolograms	1988	Walter H. Carter Chris Gennings Joan G. Staniswalis Eleanor D. Campbell Kimber L. White
+	Kernel Estimates of Dose Response	1988	Joan G. Staniswalis Vanessa Cooper

Common Coauthors

Coauthor	Papers Together
Thomas A. Severini	5
Panagis G. Moschopoulos	2
Karen Messer	2
Peter F. Thall	2
Brian S. Yandell	1
Douglas M. Bates	1
Seoweon Jin	1
Chris Gennings	1
Christopher Dodoo	1
Mary J. Lindstrom	1
Martin A. Tanner	1
Eleanor D. Campbell	1
Vanessa Cooper	1
Anu Sharma	1
J. Jack Lee	1
Kimber L. White	1
David R. Finston	1
Walter H. Carter	1
John E. Kolassa	1
J Salch	1
Indika Mallawaarachchi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Boundary modification for kernel regression	1984	Rice John	8
+	Kernel estimation of regression functions	1979	Théo Gasser Hans‐Georg Müller	6
+ PDF Chat	Smooth Optimum Kernel Estimators of Densities, Regression Curves and Modes	1984	Hans‐Georg Müller	5
+	The Kernel Estimate of a Regression Function in Likelihood-Based Models	1989	Joan G. Staniswalis	5
+ PDF Chat	Bandwidth Choice for Nonparametric Regression	1984	John Rice	4
+	Estimating the Mean and Covariance Structure Nonparametrically When the Data are Curves	1991	John A. Rice B. W. Silverman	4
+ PDF Chat	Flexible smoothing with B-splines and penalties	1996	Paul H.C. Eilers Brian D. Marx	4
+	Kernel Smoothing in Partial Linear Models	1988	Paul L. Speckman	4
+ PDF Chat	Profile Likelihood and Conditionally Parametric Models	1992	Thomas A. Severini Wing Hung Wong	4
+	Kernel estimators of zeros and of location and size of extrema of regression functions	1985	Holger Müller	3
+	Local Bandwidth Selection for Kernel Estimates	1989	Joan G. Staniswalis	3
+	Functional Data Analysis	1999	Eiji Muraki J. O. Ramsay Bernard W. Silverman	3
+	Kernel Regression Estimation Using Repeated Measurements Data	1986	Jeffrey D. Hart Thomas E. Wehrly	3
+ PDF Chat	Variable Bandwidth Kernel Estimators of Regression Curves	1987	Hans‐Georg Müller Ulrich Stadtmüller	3
+ PDF Chat	Nonparametric estimation of a regression function	1981	Kuang‐Fu Cheng Pi‐Erh Lin	3
+	On Estimating Regression	1964	É. A. Nadaraya	3
+ PDF Chat	Local Likelihood Estimation	1987	Robert Tibshirani Trevor Hastie	3
+	Smooth Regression Analysis	1964	Geoffrey S. Watson	3
+	Local Bandwidth Selection for Kernel Estimates	1989	Joan G. Staniswalis	3
+	Robust Locally Weighted Regression and Smoothing Scatterplots	1979	William S. Cleveland	3
+	Spline Smoothing and Nonparametric Regression.	1989	M. C. Jones R. L. Eubank	3
+	Some Tools for Functional Data Analysis	1991	J. O. Ramsay Connor J. Dalzell	2
+	On the Nonparametric Estimation of Regression Functions	1977	Jacqueline Benedetti	2
+	The Kernel Estimate of a Regression Function in Likelihood-Based Models	1989	Joan G. Staniswalis	2
+	Nonparametric Regression Analysis of Longitudinal Data	1988	Hans‐Georg Müller	2
+	Varying-Coefficient Models	1993	Trevor Hastie Robert Tibshirani	2
+	Nonparametric Regression Analysis of Longitudinal Data	1998	Joan G. Staniswalis J. Jack Lee	2
+	Principal Differential Analysis: Data Reduction by Differential Operators	1996	J. O. Ramsay	2
+	Functional Data Analysis	1997	J. O. Ramsay Bernard W. Silverman	2
+	Invariant Modules and the Reduction of Nonlinear Partial Differential Equations to Dynamical Systems	2000	Niky Kamran Robert Milson Peter J. Olver	2
+	Kernel estimators for multivariate regression	1993	Joan G. Staniswalis Karen Messer David R. Finston	2
+ PDF Chat	Nonparametric Regression Analysis of Longitudinal Data	1990	R. L. Eubank Hans‐Georg Müller Hans‐Georg Müller	2
+	Uniform Confidence Bounds for Regression Based on a Simple Moving Average	1985	Steinar Bjerve Kjell A. Doksum Brian S. Yandell	2
+ PDF Chat	A Statistical Perspective on Ill-Posed Inverse Problems	1986	Finbarr O’Sullivan	2
+	Automatic Smoothing of Regression Functions in Generalized Linear Models	1986	Finbarr O’Sullivan Brian S. Yandell William J. Raynor	2
+ PDF Chat	Projection Pursuit Regression	1981	Jerome H. Friedman Werner Stuetzle	2
+	Longitudinal data analysis using generalized linear models	1986	Kung‐Yee Liang Scott L. Zeger	2
+ PDF Chat	A Comparison of GCV and GML for Choosing the Smoothing Parameter in the Generalized Spline Smoothing Problem	1985	Grace Wahba	2
+	Non-parametric Roughness Penalty for Probability Densities	1971	I. J. Good	2
+	Testing the Goodness of Fit of a Linear Model via Nonparametric Regression Techniques	1990	R. L. Eubank Clifford H. Spiegelman	2
+	Kernel Estimates of Dose Response	1988	Joan G. Staniswalis Vanessa Cooper	2
+ PDF Chat	Joint Asymptotic Distribution of the Estimated Regression Function at a Finite Number of Distinct Points	1972	Eugene F. Schuster	2
+ PDF Chat	Testing the (Parametric) Null Model Hypothesis in (Semiparametric) Partial and Generalized Spline Models	1988	Dennis Cox Eunmee Koh Grace Wahba Brian S. Yandell	2
+	Nonparametric Estimation from Incomplete Observations	1992	Edward L. Kaplan Paul Meier	1
+	A class of multivanate failure time distributions	1986	Philip Hougaard	1
+	Nonparametric Functional Data Analysis: Theory and Practice	2007	Mark Greenwood	1
+	Longitudinal Data Analysis for Discrete and Continuous Outcomes	1986	Scott L. Zeger Kung‐Yee Liang	1
+ PDF Chat	Nonparametric Regression Analysis of Longitudinal Data	2014	J. ‐L. Wang	1
+	Inference about the ED50 using the trimmed Spearman-Karber procedure - a Monte Carlo investigation	1980	Martin Alva Hamilton	1
+	Models for Longitudinal Data: A Generalized Estimating Equation Approach	1988	Scott L. Zeger Kung‐Yee Liang Paul S. Albert	1