Charles Joel Stone | Academic Influence

Charles Joel Stone's AcademicInfluence.com Rankings

Charles Joel Stone

Mathematics

#5207

World Rank

#7346

Historical Rank

#1736

USA Rank

Statistics

#360

World Rank

#427

Historical Rank

#117

USA Rank

mathematics Degrees

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Mathematics

Charles Joel Stone's Degrees

PhD Statistics University of California, Berkeley
Masters Statistics University of California, Berkeley
Bachelors Mathematics University of California, Berkeley

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Why Is Charles Joel Stone Influential?

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According to Wikipedia, Charles "Chuck" Joel Stone was an American statistician and mathematician. Early life Charles Joel Stone was born and raised in Los Angeles. After secondary school at North Hollywood High School, Stone graduated with a Bachelor of Science in science from the California Institute of Technology in 1958. He then matriculated at Stanford University, where in 1961 he received his PhD in statistics. His PhD thesis Limit Theorems for Birth and Death Processes and Diffusion Processes was supervised by Samuel Karlin.

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Charles Joel Stone's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Classification and Regression Trees (1984) (14579)
Consistent Nonparametric Regression (1977) (1776)
Optimal Global Rates of Convergence for Nonparametric Regression (1982) (1520)
Additive Regression and Other Nonparametric Models (1985) (1294)
Optimal Rates of Convergence for Nonparametric Estimators (1980) (835)
Introduction to Probability Theory (1972) (596)
CART: Classification and Regression Trees (1984) (452)
An Asymptotically Optimal Window Selection Rule for Kernel Density Estimates (1984) (435)
Brownian Motion and Classical Potential Theory (1978) (432)
Polynomial splines and their tensor products in extended linear modeling: 1994 Wald memorial lecture (1997) (386)
The Dimensionality Reduction Principle for Generalized Additive Models (1986) (379)
The Use of Polynomial Splines and Their Tensor Products in Multivariate Function Estimation (1994) (359)
Introduction to Stochastic Processes (1972) (312)
A study of logspline density estimation (1991) (224)
Adaptive Maximum Likelihood Estimators of a Location Parameter (1975) (223)
Hazard Regression (211)
Logspline Density Estimation for Censored Data (1992) (193)
Large-Sample Inference for Log-Spline Models (1990) (154)
Polychotomous Regression (1995) (152)
Nonparametric function estimation involving time series (1992) (137)
A LOCAL LIMIT THEOREM FOR NONLATTICE MULTI-DIMENSIONAL DISTRIBUTION FUNCTIONS' (1965) (123)
A Course in Probability and Statistics (1995) (119)
Infinitely divisible processes and their potential theory. I (1971) (112)
Additive Splines in Statistics (2015) (109)
OPTIMAL GLOBAL RATES OF CONVERGENCE FOR NONPARAMETRIC ESTIMATORS (1982) (86)
Optimal Localization by Pointing Off Axis (2010) (76)
On characteristic functions and renewal theory (1965) (75)
On Absolutely Continuous Components and Renewal Theory (1966) (71)
The L2 rate of convergence for hazard regression (1995) (67)
On Moment Generating Functions and Renewal Theory (1965) (62)
LOGSPLINE ESTIMATION OF A POSSIBLY MIXED SPECTRAL DISTRIBUTION (1995) (60)
OPTIMAL UNIFORM RATE OF CONVERGENCE FOR NONPARAMETRIC ESTIMATORS OF A DENSITY FUNCTION OR ITS DERIVATIVES (1983) (53)
[Generalized Additive Models]: Comment (1986) (52)
On a Theorem by Dobrushin (1968) (49)
Admissible Selection of an Accurate and Parsimonious Normal Linear Regression Model (1981) (45)
Functional ANOVA modeling for proportional hazards regression (2000) (44)
RATE OF CONVERGENCE FOR LOGSPLINE SPECTRAL DENSITY ESTIMATION (1995) (40)
SEMIPARAMETRIC TIME SERIES REGRESSION (1994) (39)
Random measures and their application to motion in an incompressible fluid (1976) (38)
A class of Toeplitz forms and their application to probability theory (1960) (38)
Robust confidence bounds for extreme upper quantiles (1990) (37)
Ratio limit theorems for random walks on groups (1966) (35)
One-sided error estimates in renewal theory (1967) (35)
Potential theory of random walks on Abelian groups (1969) (34)
Uniform Error Bounds Involving Logspline Models (1989) (34)
Asymptotics for Doubly Flexible Logspline Response Models (1991) (34)
Infinite particle systems (1973) (34)
Chapter 6 – Potential Theory (1978) (30)
AN ASYMPTOTICALLY OPTIMAL HISTOGRAM SELECTION RULE (2008) (26)
The L2 Rate of Convergence for Event History Regression with Time‐dependent Covariates (1998) (23)
FISHER INFORMATION AND THE PITMAN ESTIMATOR OF A LOCATION PARAMETER (1974) (21)
THE ASYMMETRIC CAUCHY PROCESSES ON THE LINE (1969) (19)
Local asymptotic admissibility of a generalization of Akaike's model selection rule (1982) (19)
Asymptotic Properties of Estimators of a Location Parameter (1974) (18)
Hitting Time and Hitting Places for Non-Lattice Recurrent Random Walks (1967) (18)
Free knot splines in concave extended linear modeling (2002) (15)
On the potential operator for one-dimensional recurrent random walks. (1969) (13)
Nonparametric M-regression with free knot splines (2005) (12)
Confidence bounds for extreme quantiles (1988) (11)
An Upper Bound for the Renewal Function (1972) (10)
Introduction To Tree Classification (2017) (9)
Extended Linear Modeling with Splines (2003) (9)
WALD MEMORIAL LECTURE POLYNOMIAL SPLINES AND THEIR TENSOR PRODUCTS IN EXTENDED LINEAR MODELING (1997) (8)
Comparison of Parametric and Bootstrap Approaches to Obtaining Confidence Intervals for Logspline Density Estimation (2004) (8)
Statistical Modeling with Spline Functions Methodology and Theory (2006) (7)
Statistical modeling of diffusion processes with free knot splines (2003) (7)
THE GROWTH OF A RANDOM WALK (1969) (6)
Further Development of New Methods for Estimating Tail Probabilities and Extreme Value Distributions. (1981) (6)
New Methods for Estimating Tail Probabilities and Extreme Value Disributions. (1979) (6)
Confidence Intervals for Logspline Density Estimation (2003) (5)
Asymptotic behavior of the convolution of a pair of measures (1969) (4)
The Growth of a Recurrent Random Walk (1966) (4)
ADMISSIBILITY AND LOCAL ASYMPTOTIC ADMISSIBILITY OF PROCEDURES WHICH COMBINE ESTIMATION AND MODEL SELECTION (1982) (4)
SLLNs and CLTs for Infinite Particle Systems (1975) (4)
Classical Potential Theory and Brownian Motion (1972) (4)
Discussion: Multivariate Adaptive Regression Splines (1991) (4)
Stochastic Optimization Methods for Fitting Polyclass and Feed-Forward Neural Network Models (1999) (3)
Infinite Particle Systems and Multi-Dimensional Renewal Theory (1968) (3)
Spacing Distribution Associated with a Stationary Random Measure on the Real Line (1977) (3)
Logarithmic potentials and planar Brownian motion (1972) (2)
Right Sized Trees and Honest Estimates (2017) (1)
Construction of Trees from a Learning Sample (2017) (1)
Stopping times for recurrent stable processes (1968) (1)
1994 WALD MEMORIAL LECTURE (1997) (1)
L 2 Rate of Convergence for Interaction Spline Regression (2008) (1)
Potential theory for infinitely divisible processes on Abelian groups (1969) (0)
Asymptotics for hazard regression (1996) (0)
Potential theory for recurrent symmetric infinitely divisible processes (1982) (0)
Selected recollections of my relationship with Leo Breiman (2010) (0)
Chapter 3 – Potentials on the Whole Space (1978) (0)
Strengthening and Interpreting (2017) (0)
11 Extended Linear Modeling with Splines (0)
A test for the independence of two renewal processes (1966) (0)
Chapter 4 – Harmonic Functions (1978) (0)
Hazard RegressionCharles Kooperberg (1994) (0)
Hazard Regression (Polynomial Splines in Survival Analysis) (2004) (0)
Using the Stochastic Gradient Method to FitPolychotomous Regression (1997) (0)
Mass Spectra Classification (2017) (0)
A Large Sample Test for the Independence of Two Renewal Processes (1967) (0)
Chapter 5 – Superharmonic and Excessive Functions (1978) (0)
Bayes Rules and Partitions (2017) (0)
The following books cover the material of these notes and may be helpful as supplemental reading. (2002) (0)
Chapter 2 – Hitting Times (1978) (0)
Chapter 1 – Brownian Motion as a Strong Markov Process (1978) (0)
Generalized Multivariate Regression Splines (2008) (0)
Medical Diagnosis and Prognosis (2017) (0)

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