Anatoly Zhigljavsky
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British statistician
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Why Is Anatoly Zhigljavsky Influential?
(Suggest an Edit or Addition)According to Wikipedia, Anatoly Aleksandrovich Zhigljavsky is a professor of Statistics in the School of Mathematics at Cardiff University. He has authored 12 monographs and over 150 papers in refereed journals. His research interests include stochastic and high-dimensional global optimisation, time series analysis, multivariate data analysis, statistical modeling in market research, probabilistic methods in search and number theory.
Anatoly Zhigljavsky'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
- Singular Spectrum Analysis for Time Series (2013) (533)
- Analysis of Time Series Structure - SSA and Related Techniques (2001) (378)
- Forecasting European industrial production with singular spectrum analysis (2009) (265)
- Analysis of time series structure (2013) (255)
- Stochastic Global Optimization (2008) (252)
- An Algorithm Based on Singular Spectrum Analysis for Change-Point Detection (2003) (225)
- Singular spectrum analysis: methodology and application to economics data (2009) (131)
- Forecasting UK Industrial Production with Multivariate Singular Spectrum Analysis (2013) (114)
- Predicting daily exchange rate with singular spectrum analysis (2010) (96)
- Predicting inflation dynamics with singular spectrum analysis (2013) (78)
- Multivariate singular spectrum analysis for forecasting revisions to real-time data (2011) (69)
- Computing sums of conditionally convergent and divergent series using the concept of grossone (2012) (64)
- Singular Spectrum Analysis with R (2018) (64)
- Improving updating rules in multiplicative algorithms for computing D-optimal designs (2008) (63)
- A New Approach to Optimal Design for Linear Models With Correlated Observations (2010) (56)
- Singular spectrum analysis for image processing (2010) (51)
- Stochastic Global Optimization: A Review on the Occasion of 25 Years of Informatica (2016) (46)
- Singular Spectrum Analysis for time series: Introduction to this special issue (2010) (45)
- A Comprehensive Causality Test Based on the Singular Spectrum Analysis (2011) (41)
- Optimization challenges in the structured low rank approximation problem (2013) (41)
- Optimum design: 2000 (2001) (40)
- Self-regenerative Markov chain Monte Carlo with adaptation (2003) (37)
- Statistical Inference for the Bounds of Random Variables (1991) (35)
- Singular spectrum analysis based on the perturbation theory (2011) (32)
- Asymptotic Distribution of the Distance Function to the Farey Points (1997) (26)
- Optimal designs in regression with correlated errors. (2015) (26)
- Analysis of Structured Low Rank Approximation as an Optimization Problem (2011) (23)
- Advances in Stochastic and Deterministic Global Optimization (2016) (22)
- Bayesian Quadrature, Energy Minimization, and Space-Filling Design (2020) (21)
- Stochastic algorithms for solving structured low-rank matrix approximation problems (2015) (21)
- Application of the singular-spectrum analysis to change-point detection in time series (2006) (21)
- Approximating the negative moments of the Poisson distribution (2004) (20)
- Performance of global random search algorithms for large dimensions (2018) (20)
- Efficient Estimation of Parameters of the Negative Binomial Distribution (2006) (20)
- Probabilistic existence theorems in group testing (2003) (19)
- Weighted norms in subspace‐based methods for time series analysis (2016) (17)
- On the distribution of Farey fractions and hyperbolic lattice points (2001) (17)
- Optimal Design and Related Areas in Optimization and Statistics (2011) (16)
- Algorithmic construction of optimal designs on compact sets for concave and differentiable criteria (2014) (16)
- Simplicial variances, potentials and Mahalanobis distances (2018) (15)
- COMPARISON OF COSTS FOR MULTI-STAGE GROUP TESTING METHODS IN THE PHARMACEUTICAL INDUSTRY (2001) (15)
- Entropies of the partitions of the unit interval generated by the Farey tree (2004) (15)
- Generic probabilistic modelling and non-homogeneity issues for the UK epidemic of COVID-19 (2020) (14)
- Branch and probability bound methods in multi-objective optimization (2016) (14)
- Branch and probability bound methods for global optimization (1990) (14)
- Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems (2019) (13)
- A new approach to optimal designs for correlated observations (2015) (13)
- Gradient algorithms for quadratic optimization with fast convergence rates (2011) (13)
- Comparison of different exit scenarios from the lock-down for COVID-19 epidemic in the UK and assessing uncertainty of the predictions (2020) (13)
- Bayesian and High-Dimensional Global Optimization (2021) (13)
- A generalized golden-section algorithm for line search (1998) (12)
- Autoregressive negative binomial processes (2007) (11)
- Asymptotic behaviour of a family of gradient algorithms in ℝd and Hilbert spaces (2006) (11)
- Renormalised Steepest Descent in Hilbert Space Converges to a Two-Point Attractor (2001) (11)
- An asymptotically optimal gradient algorithm for quadratic optimization with low computational cost (2013) (11)
- The chaotic behaviour of search algorithms (1993) (10)
- Assessing the stability of long-horizon SSA forecasting (2010) (10)
- Design for linear regression models with correlated errors (2015) (10)
- Stopping rules in k-adaptive global random search algorithms (2010) (10)
- Power of the MOSUM test for online detection of a transient change in mean (2020) (10)
- Approximation of Real Numbers by Rationals: Some Metric Theorems (1996) (10)
- Dynamical Search - Applications of Dynamical Systems in Search and Optimization: Interdisciplinary Statistics (1999) (9)
- Asymptotic optimal designs under long-range dependence error structure (2009) (9)
- A Dynamical-System Analysis of the Optimum s-Gradient Algorithm (2009) (9)
- Guest editors’ preface to the special issue devoted to the 2nd International Conference “Numerical Computations: Theory and Algorithms”, June 19–25, 2016, Pizzo Calabro, Italy (2018) (9)
- Approximations for the Boundary Crossing Probabilities of Moving Sums of Random Variables (2019) (9)
- Efficient parameter estimation for independent and INAR(1) negative binomial samples (2007) (8)
- Covering of High-Dimensional Cubes and Quantization (2020) (8)
- Extremal measures maximizing functionals based on simplicial volumes (2016) (8)
- The BLUE in continuous-time regression models with correlated errors (2019) (8)
- Extended generalised variances, with applications (2017) (8)
- A characterization of the arcsine distribution (2009) (8)
- Semiparametric statistical inference in global random search (1993) (8)
- Bayesian quadrature and energy minimization for space-filling design (2018) (7)
- Adaptive Targeting for Online Advertisement (2015) (7)
- Approximations for the boundary crossing probabilities of moving sums of normal random variables (2018) (7)
- Comparison of independent, stratified and random covering sample schemes in optimization problems (1996) (7)
- Kantorovich-type inequalities for operators via D-optimal design theory (2005) (7)
- The theory of search from a statistical viewpoint (1994) (7)
- Measures Minimizing Regularized Dispersion (2018) (7)
- Bregman divergences based on optimal design criteria and simplicial measures of dispersion (2018) (7)
- Minimum-energy measures for singular kernels (2021) (7)
- Stochastic Analysis of Convergence via Dynamic Representation for a Class of Line-search Algorithms (1997) (7)
- Deconvolution of a discrete uniform distribution (2016) (6)
- Finite Sample Behaviour of an Ergodically Fast Line-Search Algorithm (1999) (6)
- Multistart with early termination of descents (2019) (6)
- Forecasting European Industrial Production with Multivariate Singular Spectrum Analysis (2009) (6)
- Blind deconvolution of covariance matrix inverses for autoregressive processes (2019) (6)
- Discrete uniform and binomial distributions with infinite support (2020) (6)
- Non-lattice Covering and Quantization of High Dimensional Sets (2020) (6)
- Basic SSA (2020) (6)
- Weyl sequences: asymptotic distributions of the partition lengths (1999) (6)
- A prototype for decision support tool to help decision-makers with the strategy of handling the COVID-19 UK epidemic (2020) (5)
- Estimation of the Treatment Difference in Multicenter Trials (2004) (5)
- Studying Convergence of Gradient Algorithms Via Optimal Experimental Design Theory (2009) (5)
- Efficient Quantisation and Weak Covering of High Dimensional Cubes (2020) (5)
- Approximating Shepp’s constants for the Slepian process (2018) (5)
- An Introduction to Dynamical Search (2002) (5)
- Improving on Golden-Section Optimisation for Locally Symmetric Functions (1995) (4)
- Asymptotic Upper Bounds for the Optimal Design Length in Factor Screening Experiments (1998) (4)
- Best linear unbiased estimators in continuous time regression models (2016) (4)
- Analysis of performance of symmetric second‐order line search algorithms through continued fractions (2001) (4)
- Achieving the Ergodically Optimal Convergence Rate for a One-Dimensional Minimization Problem (1995) (4)
- Approximations of the boundary crossing probabilities for the maximum of moving sums (2018) (3)
- SSA analysis and forecasting of records for Earth temperature and ice extents (2017) (3)
- Existence theorems for some group testing strategies (1996) (3)
- 'Nearly' universally optimal designs for models with correlated observations (2014) (3)
- An extremal property of the generalized arcsine distribution (2013) (3)
- Calibration in Survey Sampling as an Optimization Problem (2015) (3)
- Blind equalization in the presence of bounded errors with unknown bound (1997) (3)
- Blind equalization in presence of bounded errors (1997) (3)
- Reproducing Kernel Hilbert Spaces, Polynomials, and the Classical Moment Problem (2021) (3)
- Estimating the Minimal Value of a Function in Global Random Search: Comparison of Estimation Procedures (2007) (2)
- Approximations of the boundary crossing probabilities for the maximum of moving weighted sums (2018) (2)
- Change – Point Detection in Time Series by means of the Singular Spectrum Analysis (2010) (2)
- Optimal directional statistic for general regression (2018) (2)
- Reproducing kernel Hilbert spaces, polynomials and the classical moment problems (2021) (2)
- Application of structured low-rank approximation methods for imputing missing values in time series (2015) (2)
- Classical areas of mathematics where the concept of grossone could be useful (2016) (2)
- Asymptotic distributions of statistics and parameter estimates for mixed Poisson processes (2007) (2)
- Extension of the Schoenberg theorem to integrally conditionally positive definite functions (2019) (2)
- Model-oriented data analysis : proceedings of the 3rd international workshop in Petrodvorets, Russia, May 25-30, 1992 (1993) (2)
- Optimal estimation of direction in regression models with large number of parameters (2018) (2)
- Estimation of Spectral Bounds in Gradient Algorithms (2013) (2)
- Pharmaceutical Applications of a Multi-Stage Group Testing Method (2001) (2)
- Multi-Center Clinical Trials with Random Enrollment: Theoretical Approximations (2005) (2)
- Statistical Estimation in Global Random Search Algorithms in Case of Large Dimensions (2017) (2)
- Adaptive Designs for Optimizing Online Advertisement Campaigns (2016) (2)
- Bi-objective Decisions and Partition-Based Methods in Bayesian Global Optimization (2021) (2)
- SSA Analysis of One-Dimensional Time Series (2018) (2)
- Simplicial and Minimal-Variance Distances in Multivariate Data Analysis (2022) (1)
- A new approach to optimal designs for models with correlated observations (2009) (1)
- Analysis and Design in the Problem of Vector Deconvolution (2016) (1)
- Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration (2016) (1)
- Methods Based on Statistical Models of Multimodal Functions (2008) (1)
- Modeling Recurrent Events in Panel Data Using Mixed Poisson Models (2008) (1)
- Adaptive Targeting in Online Advertisement: Models Based on Relative Influence of Factors (2016) (1)
- Grobner basis methods in mixture experiments and generalisations (2001) (1)
- SSA for Multivariate Time Series (2018) (1)
- Approximation of inverse moments of discrete distributions (2014) (1)
- Global optimization for structured low rank approximation (2016) (1)
- First passage times for Slepian process with linear and piecewise linear barriers (2021) (1)
- Nonadaptive group testing with lies: Probabilistic existence theorems (2010) (1)
- Global Random Search: Fundamentals and Statistical Inference (2008) (1)
- R. Paulavičius and J. Žilinskas: Simplicial global optimization (2014) (1)
- Mixed Poisson Processes with Panel Flow (2008) (1)
- Main Concepts and Approaches of Global Random Search (1991) (1)
- Solving stochastic ship fleet routing problems with inventory management using branch and price (2012) (1)
- Selection of a covariance kernel for a Gaussian random field aimed for modeling global optimization problems (2019) (1)
- Foreword: Special issue INFINITY 2010 (2012) (1)
- Random and quasi-random designs in group testing (2021) (1)
- Introduction (2020) (0)
- Statistical Inference in Global Random Search (1991) (0)
- Simplicial and Minimal-Variance Distances in Multivariate Data Analysis (2022) (0)
- Multistart with early termination of descents (2019) (0)
- Covering of high-dimensional sets (2022) (0)
- An extremal property of the generalized arcsine distribution (2012) (0)
- First passage time for Slepian process with linear barrier (2019) (0)
- Ya. D. Sergeyev, R. G. Strongin and D. Lera: Introduction to global optimization exploiting space-filling curves (2014) (0)
- Bernoulli Extended generalised variances , with applications (2017) (0)
- Random Search Algorithms for Solving Specific Problems (1991) (0)
- Mixed Poisson models and singular spectrum analysis in marketing research, econometrics and other areas (2008) (0)
- Optimal experimental design and quadratic optimization (2008) (0)
- Global Optimization Challenges in Structured Low Rank Approximation (2017) (0)
- Polynomial whitening for high-dimensional data (2022) (0)
- Space-Filling in High-Dimensional Sets (2021) (0)
- Prediction in regression models with continuous observations (2019) (0)
- Global Optimization Methods (1991) (0)
- Nina Golyandina . On the choice of parameters in Singular Spectrum Analysis and related sub space-based methods (0)
- Statistical Modelling for Improving Efficiency of Online Advertising (2022) (0)
- Quasi-uniform designs with optimal and near-optimal uniformity constant (2021) (0)
- Foreword to the virtual special issue dedicated to the 3rd International Conference NUMTA 2019 "Numerical Computations: Theory and Algorithms" (2021) (0)
- Preface to the special issue NUMTA 2013 (2015) (0)
- Measures Minimizing Regularized Dispersion (2018) (0)
- SVD of trajectory matrices (2001) (0)
- Performance of global random search algorithms for large dimensions (2017) (0)
- Global Optimization Theory: General Concepts (1991) (0)
- List of data sets and their sources (2001) (0)
- Nested sampling designs with small covering radii (2022) (0)
- Methods of Generations (1991) (0)
- Mendelian randomization (2022) (0)
- Statistical Modelling in Market Research (2011) (0)
- Book Reviews (2003) (0)
- Global Random Search in High Dimensions (2021) (0)
- Some Convergence Properties of the Steepest Descent Algorithm Revealed by Renormalisation (2001) (0)
- SSA for Forecasting, Interpolation, Filtering and Estimation (2020) (0)
- Optimization challenges in the structured low rank approximation problem (2012) (0)
- Approximations of the boundary crossing probabilities for the maximum of moving weighted sums (2018) (0)
- BLUE against OLSE in the location model: energy minimization and asymptotic considerations (2023) (0)
- Time series of finite rank (2001) (0)
- Bregman divergences based on optimal design criteria and simplicial measures of dispersion (2019) (0)
- Guest editors’ preface to the special issue devoted to the 2nd International Conference “Numerical Computations: Theory and Algorithms”, June 19–25, 2016, Pizzo Calabro, Italy (2018) (0)
- Optimal designs for regression models with autoregressive errors structure (2016) (0)
- Singular Value Decomposition (2001) (0)
- An extended Generalised Variance, with Applications (2014) (0)
- Section — Invariant Numbers and Generalised Golden Section Optimization Algorithms* (1998) (0)
- Global Random Search: Extensions (2008) (0)
- Branch and probability bound methods in multi-objective optimization (2014) (0)
- SSA for Forecasting, Interpolation, Filtration and Estimation (2013) (0)
- Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems (2019) (0)
- Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms (2022) (0)
- Ya. D. Sergeyev, R. G. Strongin and D. Lera: Introduction to global optimization exploiting space-filling curves (2014) (0)
- Statistical forecasting of Earth temperature records (2014) (0)
- Several Problems Connected with Global Random Search (1991) (0)
- Basic Concepts and Ideas (2008) (0)
- An asymptotically optimal gradient algorithm for quadratic optimization with low computational cost (2012) (0)
- R. Paulavičius and J. Žilinskas: Simplicial global optimization (2014) (0)
- First passage times for Slepian process with linear and piecewise linear barriers (2021) (0)
- Parameter Estimation, Forecasting, Gap Filling (2018) (0)
- Estimation of Spectral Bounds in Gradient Algorithms (2012) (0)
- SSA detection of structural changes (2001) (0)
- Search Methods and Observer Logics (1994) (0)
- Kronecker Sequences : Asymptotic Distributions of the Partition Lengths (2007) (0)
- Extremal measures maximizing functionals based on simplicial volumes (2016) (0)
- Design for regression models with correlated errors (2012) (0)
- Optimization problems in structured low rank approximation (2016) (0)
- Correction to “Asymptotic optimal designs under long-range dependence error structure” Bernoulli 15 (2009) 1036–1056 (2012) (0)
- Approximations for the boundary crossing probabilities of the maximum of moving sums of normal random variables (2019) (0)
- Deriving Approximations in a Random Effects Model for Multicenter Clinical Trials with Binary Response (2007) (0)
- Chapter 1 PHARMACEUTICAL APPLICATIONS OF THE MULTI-STAGE GROUP TESTING METHOD (2010) (0)
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