Silvelyn Zwanzig
Professor emeritus at Department of Mathematics; Academic staff
- E-mail:
- Silvelyn.Zwanzig@math.uu.se
- Visiting address:
- Ångströmlaboratoriet, Regementsvägen 10
- Postal address:
- Box 524
751 20 UPPSALA
Download contact information for Silvelyn Zwanzig at Department of Mathematics; Academic staff
Professor emeritus at Department of Mathematics; Statistics, AI and Data Science
- E-mail:
- silvelyn.zwanzig@math.uu.se
- Visiting address:
- Ångströmlaboratoriet, Regementsvägen 10
- Postal address:
- Box 524
751 20 UPPSALA
Publications
Recent publications
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An appraisal of approximation error in variational inference
Part of Statistics and Probability Letters, 2025
- DOI for An appraisal of approximation error in variational inference
- Download full text (pdf) of An appraisal of approximation error in variational inference
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Bayesian Inference: Theory, Methods, Computations
CRC Press, 2024
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On Parameter Estimation for High Dimensional Errors-in-Variables Models
Part of Analytical Methods in Statistics, AMISTAT 2019, p. 143-156, 2020
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On the behavior of the risk of a LASSO-type estimator
Part of Analytical Methods in Statistics, Amistat 2015, p. 189-207, 2017
-
Tests of perfect judgment ranking using pseudo-samples
Part of Computational statistics (Zeitschrift), p. 1309-1322, 2017
All publications
Articles in journal
-
An appraisal of approximation error in variational inference
Part of Statistics and Probability Letters, 2025
- DOI for An appraisal of approximation error in variational inference
- Download full text (pdf) of An appraisal of approximation error in variational inference
-
Tests of perfect judgment ranking using pseudo-samples
Part of Computational statistics (Zeitschrift), p. 1309-1322, 2017
-
Exact confidence intervals and hypothesis tests for parameters of discrete distributions
Part of Bernoulli, p. 479-502, 2017
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Part of Scandinavian Journal of Statistics, p. 371-373, 2016
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Obituary for Helga Bunke (13 July 1938-4 May 2014)
Part of Statistics (Berlin), p. 1187-1188, 2015
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Part of Statistics (Berlin), p. 156-171, 2013
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Part of Statistics (Berlin), p. 1160-1183, 2013
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SimSel: a new simulation method for variable selection
Part of Journal of Statistical Computation and Simulation, p. 515-527, 2012
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Assessing the coefficient of variations of chemical data using bootstrap method
Part of Journal of Chemometrics, p. 295-300, 2011
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Part of Communications in statistics. Simulation and computation, p. 1726-1734, 2010
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The SVM Approach for Box–Jenkins Models
Part of REVSTAT, p. 23-36, 2009
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On local linear estimation in nonparametric errors-in-variables models
Part of Theory of Stochastic Processes, p. 316-327, 2007
Books
Conference papers
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On Parameter Estimation for High Dimensional Errors-in-Variables Models
Part of Analytical Methods in Statistics, AMISTAT 2019, p. 143-156, 2020
-
On the behavior of the risk of a LASSO-type estimator
Part of Analytical Methods in Statistics, Amistat 2015, p. 189-207, 2017
-
On a Consistent Rank Estimate in a Linear Structural Model
Part of PROBASTAT '11, p. 191-202, 2012
Reports
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An extension to the variable selection method SimSel to test the relevance of the selected variables
2009
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On the comparison of parametric and nonparametric bootstrap
2008
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2008
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Asymptotic linearity of linear rank statistic in the case of symmetric heteroscedastic variables
2008
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Asymptotic properties of a rank estimate in heteroscedastic linear regression
2008
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SimSel - a new simulation feature selection method I
2007
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On an application of deconvolution techniques to local linear regression with errors in variables
2006
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On comparisons of simulation experiments
2006
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2003