James C. Spall
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James C. Spallengineering Degrees
Engineering
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#5329
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Applied Physics
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#969
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Electrical Engineering
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#1112
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Engineering
James C. Spall's Degrees
- PhD Electrical Engineering Stanford University
- Masters Electrical Engineering Stanford University
- Bachelors Electrical Engineering University of California, Berkeley
Why Is James C. Spall Influential?
(Suggest an Edit or Addition)James C. Spall'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
- Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1992) (2041)
- Introduction to Stochastic Search and Optimization (2003) (1338)
- Introduction to Stochastic Search and Optimization. Estimation, Simulation, and Control (Spall, J.C. (2007) (969)
- Implementation of the simultaneous perturbation algorithm for stochastic optimization (1998) (717)
- Introduction to stochastic search and optimization - estimation, simulation, and control (2003) (519)
- AN OVERVIEW OF THE SIMULTANEOUS PERTURBATION METHOD FOR EFFICIENT OPTIMIZATION (1998) (519)
- Adaptive stochastic approximation by the simultaneous perturbation method (1998) (445)
- IEEE Transactions on Automatic Control (2006) (404)
- STOCHASTIC OPTIMIZATION (2002) (286)
- Model-free control of nonlinear stochastic systems with discrete-time measurements (1998) (248)
- A one-measurement form of simultaneous perturbation stochastic approximation (1997) (235)
- A Stochastic Approximation Technique for Generating Maximum Likelihood Parameter Estimates (1987) (168)
- Traffic-responsive signal timing for system-wide traffic control (1997) (143)
- Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation (1997) (127)
- Estimation via Markov chain Monte Carlo (2002) (97)
- Nonlinear adaptive control using neural networks: estimation with a smoothed form of simultaneous perturbation gradient approximation (1994) (90)
- A stochastic approximation algorithm for large-dimensional systems in the Kiefer-Wolfowitz setting (1988) (87)
- Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach (2006) (85)
- Simulation-Based Optimization with Stochastic Approximation Using Common Random Numbers (1999) (83)
- Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm (2007) (76)
- A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment (1994) (74)
- Monte Carlo Computation of the Fisher Information Matrix in Nonstandard Settings (2005) (73)
- Stochastic Optimization, Stochastic Approximation and Simulated Annealing (1999) (56)
- Feature - Estimation via markov chain monte carlo (2003) (54)
- Asymptotic distribution theory for the kalman filter state estimator (1984) (52)
- The Kantorovich inequality for error analysis of the Kalman filter with unknown noise distributions (1995) (50)
- Accelerated second-order stochastic optimization using only function measurements (1997) (47)
- A model-free approach to optimal signal light timing for system-wide traffic control (1994) (46)
- Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions (2003) (45)
- Stochastic optimization and the simultaneous perturbation method (1999) (44)
- Use of the Kalman filter for inference in state-space models with unknown noise distributions (1996) (43)
- A modified second‐order SPSA optimization algorithm for finite samples (2002) (41)
- Parameter identification for state-space models with nuisance parameters (1990) (39)
- Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions (2008) (37)
- Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation (2008) (36)
- Developments in stochastic optimization algorithms with gradient approximations based on function measurements (1994) (35)
- Least-informative Bayesian prior distributions for finite samples based on information theory (1989) (34)
- Model-free control of general discrete-time systems (1993) (34)
- Theoretical framework for comparing several popular stochastic optimization approaches (2002) (33)
- A constrained simultaneous perturbation stochastic approximation algorithm based on penalty functions (1998) (31)
- Discrete simultaneous perturbation stochastic approximation on loss function with noisy measurements (2011) (30)
- Identification for Systems With Binary Subsystems (2014) (29)
- Cyclic Seesaw Process for Optimization and Identification (2012) (29)
- Evaluation of system-wide traffic signal control using stochastic optimization and neural networks (1999) (29)
- Simultaneous Perturbation Stochastic Approximation (2005) (28)
- Direct adaptive control of nonlinear systems using neural networks and stochastic approximation (1992) (28)
- Robust neural network tracking controller using simultaneous perturbation stochastic approximation (2003) (27)
- Factorial Design for Efficient Experimentation (2010) (26)
- A Feasible Bayesian Estimator of Quantiles for Projectile Accuracy From Non-iid Data (1992) (22)
- Theoretical comparisons of evolutionary computation and other optimization approaches (1999) (22)
- Theoretical Framework for Comparing Several Stochastic Optimization Approaches (2004) (22)
- Optimal sensor configuration for complex systems (1998) (18)
- Use of the Kalman filter for inference in state-space models with unknown noise distributions (1997) (18)
- Simulation-based examination of the limits of performance for decentralized multi-agent surveillance and tracking of undersea targets (2014) (18)
- Relative performance of expected and observed fisher information in covariance estimation for maximum likelihood estimates (2012) (17)
- Simultaneous perturbation optimization for efficient image restoration (2005) (17)
- Efficient Monte Carlo computation of Fisher information matrix using prior information (2007) (17)
- System reliability estimation and confidence regions from subsystem and full system tests (2009) (16)
- Validation of state-space models from a single realization of non-Gaussian measurements (1985) (16)
- Tracking capability of stochastic gradient algorithm with constant gain (2016) (16)
- Sensitivity of a Bayesian Analysis to the Prior Distribution (1994) (16)
- Effect of imprecisely known nuisance parameters on estimates of primary parameters (1989) (15)
- Bayesian error isolation for models of large-scale systems (1988) (15)
- Uncertainty bounds for parameter identification with small sample sizes (1995) (15)
- A second order stochastic approximation algorithm using only function measurements (1994) (15)
- Rate of convergence in evolutionary computation (2003) (14)
- Uncertainties for recursive estimators in nonlinear state-space models, with applications to epidemiology (1995) (14)
- Improved methods for Monte Carlo estimation of the fisher information matrix (2008) (13)
- Multi-agent surveillance and tracking using cyclic stochastic gradient (2016) (13)
- Stationarity and Convergence of the Metropolis-Hastings Algorithm: Insights into Theoretical Aspects (2019) (12)
- FACTORIAL DESIGN FOR EFFICIENT EXPERIMENTATION: GENERATING INFORMATIVE DATA FOR SYSTEM IDENTIFICATION (2010) (12)
- Feedback and weighting mechanisms for improving Jacobian (Hessian) estimates in the adaptive simultaneous perturbation algorithm (2006) (11)
- The information matrix in control: computation and some applications (1999) (11)
- Rate of convergence analysis of discrete simultaneous perturbation stochastic approximation algorithm (2013) (11)
- A constrained simultaneous perturbation stochastic approximation algorithm based on penalty functions (1999) (10)
- Convergence analysis for maximum likelihood-based reliability estimation from subsystem and full system tests (2010) (10)
- Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems (2019) (10)
- Some theoretical comparisons of stochastic optimization approaches (2000) (10)
- Robust test design for reliability estimation with modeling error when combining full system and subsystem tests (2010) (10)
- Cyclic stochastic optimization with noisy function measurements (2014) (10)
- NEURAL NETWORK APPROACH TO LOCATING ACOUSTIC EMISSION SOURCES IN NON-DESTRUCTIVE EVALUATION (1998) (10)
- The distribution of nonstationary autoregressive processes under general noise conditions (1993) (9)
- Optimal sensor configuration for complex systems (1998) (9)
- Neural network approach to locating acoustic emission sources in nondestructive evaluation (1998) (9)
- Mixed Simultaneous Perturbation Stochastic Approximation for Gradient-Free Optimization with Noisy Measurements (2018) (9)
- Probabilistic Bounds in Tracking a Discrete-Time Varying Process (2018) (9)
- Model-free control of nonlinear stochastic systems in discrete time (1995) (9)
- First-order data sensitivity measures with applications to a multivariate signal-plus-noise problem (1990) (8)
- Stochastic approximation with nondecaying gain: Error bound and data‐driven gain‐tuning (2020) (8)
- Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems (2016) (8)
- Hybrid training of optical neural networks (2022) (8)
- Stopping small-sample stochastic approximation (2009) (8)
- [That BLUP is a Good Thing: The Estimation of Random Effects]: Comment: The Kalman Filter and BLUP (1991) (7)
- Stochastic version of second-order (Newton-Raphson) optimization using only function measurements (1995) (7)
- Noninformative Bayesian priors for large samples based on Shannon information theory (1987) (7)
- Efficient implementation of enhanced adaptive simultaneous perturbation algorithms (2016) (7)
- Inequality-based reliability estimates for complex systems (1998) (7)
- Asymptotic normality and uncertainty bounds for reliability estimates from subsystem and full system tests (2012) (7)
- A Method for Stopping Nonconvergent Stochastic Approximation Processes (2005) (7)
- Efficient computation of the Fisher information matrix in the EM algorithm (2017) (7)
- An implicit function based procedure for analyzing maximum likelihood estimates from nonidentically distributed data (1985) (7)
- Generalization of a Result of Fabian on the Asymptotic Normality of Stochastic Approximation (2019) (6)
- Conditions for the insensitivity of the Bayesian posterior distribution to the choice of prior distribution (1987) (6)
- Resampling-based calculation of the information matrix for general identification problems (1998) (6)
- Annealing‐Type Algorithms (2005) (6)
- Monte Carlo-based computation of the Fisher information matrix in nonstandard settings (2003) (6)
- An approximation for analyzing a broad class of implicitly and explicitly defined estimators (1986) (6)
- Framework for estimating system reliability from full system and subsystem tests with dependence on dynamic inputs (2011) (6)
- Computable rate of convergence in evolutionary computation (2002) (6)
- Inequality-based reliability estimates for complex systems (2013) (6)
- An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information (2007) (5)
- Wiley‐Interscience Series in Discrete Mathematics and Optimization (2005) (5)
- Preliminary results on relative performance of expected and observed fisher information (2009) (5)
- Parameter estimation for systems with binary subsystems (2013) (5)
- Adaptive model fitting with time-varying input variables (1999) (5)
- GENERATING INFORMATIVE DATA FOR SYSTEM IDENTIFICATION (2010) (5)
- System identification for multi-sensor data fusion (2015) (5)
- Uncertainty Bounds in Parameter Estimation with Limited Data (2005) (5)
- An Approach to Isolating Sources of Errors in Invalid State Space Models based on Stochastic Approximation (1985) (5)
- Stochastic approximation in finite samples using surrogate processes (2004) (5)
- Evolutionary Computation I: Genetic Algorithms (2005) (5)
- System Understanding and Statistical Uncertainty Bounds from Limited Test Data (1997) (4)
- Validation of State Space Models in Non-Gaussian Systems (1984) (4)
- Improved SPSA Using Complex Variables with Applications in Optimal Control Problems (2021) (4)
- Asymptotic normality and efficiency analysis of the cyclic seesaw stochastic optimization algorithm (2016) (4)
- Stochastic approximation for neural network weight estimation in the control of uncertain nonlinear systems (1992) (4)
- Comparison of Expected and Observed Fisher Information in Variance Calculations for Parameter Estimates (2010) (4)
- Discrete simultaneous perturbation stochastic approximation for resource allocation in public health (2014) (4)
- A Markovian Framework for Modeling Dynamic Network Traffic (2018) (4)
- Relative accuracy of two methods for approximating observed Fisher information (2019) (3)
- Simulation‐Based Optimization I: Regeneration, Common Random Numbers, and Selection Methods (2005) (3)
- Stochastic Search and Optimization: Motivation and Supporting Results (2005) (3)
- Cyclic seesaw optimization with applications to state-space model identification (2011) (3)
- Model-Free Optimal Control using SPSA with Complex Variables (2021) (3)
- Convergence Analysis for Feedback-and Weighting-Based Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm (2006) (3)
- Optimal sensor configuration for complex systems with application to signal detection in structures (2000) (3)
- Stopping Stochastic Approximation (2003) (3)
- II . 6 Stochastic Optimization (2004) (3)
- Cramer-Rao bounds and Monte Carlo calculation of the Fisher information matrix in difficult problems (2004) (3)
- SPSA Method Using Diagonalized Hessian Estimate (2019) (3)
- Error bound analysis of the least-mean-squares algorithm in linear models (2015) (3)
- Effect of the sample on the posterior probability in bayesian analysis (1988) (3)
- Model-free control of nonlinear stochastic systems in discrete time (1996) (3)
- A system-wide approach to adaptive traffic control (1995) (3)
- Beyond the identification of reliability for system with binary subsystems (2017) (3)
- Uncertainty bounds in system identification with limited data (1997) (3)
- Regression analysis as an aid in making oboe reeds (1997) (3)
- SQP-based Projection SPSA Algorithm for Stochastic Optimization with Inequality Constraints (2021) (3)
- Stochastic Version Of Second-Order Optimization Using Only Function Measurements (1996) (2)
- A neural network approach to nondestructive evaluation of complex structures, with application to highway bridges (1996) (2)
- Computable bounds on the rate of convergence in evolutionary computation (2001) (2)
- Maximum likelihood-based estimation of parameters in systems with binary subsystems (2013) (2)
- Error Estimation for the Particle Filter (2019) (2)
- Stochastic Approximation and the Finite‐Difference Method (2005) (2)
- Stochastic Gradient Form of Stochastic Approximation (2005) (2)
- Identification of State-Space Parameters in the Presence of Uncertain Nuisance Parameters (1989) (2)
- Error Analysis for the Particle Filter (2019) (2)
- On system identification with nuisance parameters (1994) (2)
- Confidence Intervals with Expected and Observed Fisher Information in the Scalar Case (2020) (2)
- An Efficient Multistep Stochastic Approximation Algorithm (1986) (2)
- Variance of Bounds in Inequality-Based Reliability Estimates (2007) (2)
- Seesaw method for combining parameter estimates (2005) (2)
- Stopping times and confidence bounds for small-sample stochastic approximation algorithms (2009) (2)
- Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall (2018) (2)
- Sensor configuration and optimization for detection of micro-anomalies in structural materials (2012) (1)
- Effect of uncertain ancillary parameters on maximum likelihood estimates in dynamic models (1985) (1)
- Issues in Stochastic Search and Optimization (2004) (1)
- Integrated stochastic optimization and statistical experimental design for multi-robot target tracking (2015) (1)
- Cyclic seesaw optimization and identification (2011) (1)
- Improved Monte Carlo Estimation of the Fisher Information Matrix with Independent Perturbations (2021) (1)
- Stochastic search, optimization, and the simultaneous perturbation algorithm - a tutorial (2003) (1)
- Cyclic Seesaw Process for Optimization and Identification (2012) (1)
- Efficient Weight Estimation in Neural Networks for Adaptive Control (1991) (1)
- Connection of Diagonal Hessian Estimates to Natural Gradients in Stochastic Optimization (2021) (1)
- Inequality-based estimates of systems reliability (2004) (1)
- Multilevel Data Integration with Application in Sensor Networks (2020) (1)
- Probabilistic Bounds for a Class of Filtering Algorithms in the Scalar Case (2021) (1)
- Recursive Estimation for Linear Models (2005) (1)
- Markov Chain Monte Carlo (2005) (1)
- Distribution Estimation for Stochastic Approximation in Finite Samples Using A Surrogate Stochastic Differential Equation Method (2019) (1)
- Modeling Traffic Networks Using Integrated Route and Link Data (2018) (1)
- On Monte Carlo methods for estimating the fisher information matrix in difficult problems (2009) (1)
- Optimum combination of full system and subsystem tests for estimating the reliability of a system (2009) (1)
- The Fisher Information Matrix : Performance Measure and Monte Carlo-Based Computation (2003) (1)
- Comparison between Expected and Observed Fisher Information in Interval Estimation (2021) (1)
- Stochastic Approximation for Nonlinear Root‐Finding (2005) (1)
- Formal basis for algorithm comparisons in stochastic optimization (2005) (1)
- Switch Updating in SPSA Algorithm for Stochastic Optimization with Inequality Constraints (2023) (1)
- EVALUATION AND PRACTICAL CONSIDERATIONS FOR THE S-TRAC SYSTEM-WIDE TRAFFIC SIGNAL CONTROL (1998) (1)
- Implementation and application of maximum likelihood reliability estimation from subsystem and full system tests (2010) (1)
- Discrete Stochastic Optimization for Public Health Interventions with Constraints (2022) (0)
- Reinforcement Learning via Temporal Differences (2005) (0)
- Weak convergence and the exponential rate of concentration for posterior density functions (1990) (0)
- Frequently Used Notation (2005) (0)
- Appendix E. Markov Processes (2005) (0)
- Appendix A. Selected Results from Multivariate Analysis (2005) (0)
- Evolutionary Computation II: General Methods and Theory (2005) (0)
- Optimal Design for Experimental Inputs (2005) (0)
- Appendix D. Random Number Generation (2005) (0)
- CONTROL OF COMPLEX DUNAMIC SYSTEMS BY NEURAL NGWORKS 14 (2011) (0)
- Reliability estimation and confidence regions from subsystem and full system tests via maximum likelihood (2008) (0)
- Stochastic Optimization and the Simultaneous Perturbation Algorithm (2007) (0)
- Statistical Methods for Optimization in Discrete Problems (2005) (0)
- Associate Editors, Technical (2005) (0)
- Direct Methods for Stochastic Search (2005) (0)
- Control of Complex Dynamic Systems by Neural Networks (1993) (0)
- NONSTATIONARY AUTOREGRESSIVE PROCESSES UNDER GENERAL NOISE CONDITIONS (1993) (0)
- Appendix B. Some Basic Tests in Statistics (2005) (0)
- The applied and computational mathematics program at The Johns Hopkins University (2005) (0)
- Toward Enhanced Environmental Effects Representations in Advanced Computer Simulations (1999) (0)
- Review Of Stochastic Approximation Algorithms And Applications [Book Reviews] (1999) (0)
- Error distribution and confidence bounds for recursive estimators in nonlinear state-space models (1994) (0)
- Appendix C. Probability Theory and Convergence (2005) (0)
- Review of Stochastic Approximation Algorithms and Applica (1999) (0)
- Performance Analysis of Model-Free Control and PID Control on a Class of Nonlinear MIMO Systems (2023) (0)
- Inequality-based reliability estimates for complex systems (1998) (0)
- Numerical Methods for Stochastic Processes (1995) (0)
- Preliminary results in comparing the expected and observed Fisher information for maximum likelihood estimates (2009) (0)
- United States Patent ( 19 ) Spall (0)
- Simulation‐Based Optimization II: Stochastic Gradient and Sample Path Methods (2005) (0)
- Maximum Likelihood Reliability Estimation from Subsystem and Full-System Tests: Method Overview and Illustrative Examples (2022) (0)
- Langevin Monte Carlo with SPSA-approximated Gradients (2023) (0)
- First results on formal comparison of several stochastic optimization algorithms (2000) (0)
- Model Selection and Statistical Information (2005) (0)
- Error Analysis for the Particle Filter: Methods and Theoretical Support (2019) (0)
- Uncertainty Quantification for the Extended and the Deterministic-Gain Kalman Filters (2022) (0)
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