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Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods

Entropy (Basel, Switzerland), 2022-04, Vol.24 (4), p.553

Mielniczuk, Jan

2022

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Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods

Mielniczuk, Jan

2022

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Searching for improvements in predicting human eye colour from DNA

International journal of legal medicine, 2021-11, Vol.135 (6), p.2175-2187

2021

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Challenges in Computational Statistics and Data Mining

1st ed. 2016., 2015

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Stopping rules for mutual information-based feature selection

Neurocomputing (Amsterdam), 2019-09, Vol.358, p.255-274

2019

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Dealing with Data Difficulty Factors While Learning from Imbalanced Data

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.333-363

2016

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Joint empirical risk minimization for instance-dependent positive-unlabeled data

Knowledge-based systems, 2024-11, Vol.304, p.112444, Article 112444

2024

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A deeper look at two concepts of measuring gene–gene interactions: logistic regression and interaction information revisited

Genetic epidemiology, 2018-03, Vol.42 (2), p.187-200

2018

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Predicting Physical Appearance from DNA Data-Towards Genomic Solutions

Genes, 2022-01, Vol.13 (1), p.121

2022

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Detection of Conditional Dependence Between Multiple Variables Using Multiinformation

Computational Science – ICCS 2021, p.677-690

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value model selection criteria for exponential families of increasing dimension

Metrika, 2014-02, Vol.77 (2), p.257-284

2014

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Personal Privacy Protection in Time of Big Data

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.365-380

2016

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Evolutionary Computation for Real-World Problems

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.1-24

2016

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Exact Rate of Convergence of Kernel-Based Classification Rule

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.71-91

2016

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Enhancing Naive Classifier for Positive Unlabeled Data Based on Logistic Regression Approach

2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS), 2023, p.225-233

2023

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Selection of Significant Features Using Monte Carlo Feature Selection

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.25-38

2016

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Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.155-171

2016

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What Do We Choose When We Err? Model Selection and Testing for Misspecified Logistic Regression Revisited

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.271-296

2016

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Compound Bipolar Queries: A Step Towards an Enhanced Human Consistency and Human Friendliness

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.93-111

2016

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Dependence Factor as a Rule Evaluation Measure

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.205-223

2016

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Székely Regularization for Uplift Modeling

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.135-154

2016

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Estimation of Entropy from Subword Complexity

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.53-70

2016

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Adaptive Monte Carlo Maximum Likelihood

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.247-270

2016

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Network Capacity Bound for Personalized Bipartite PageRank

Challenges in Computational Statistics and Data Mining, 2016, Vol.605, p.189-204

2016

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Random-Design Regression under Long-Range Dependent Errors

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 1999-04, Vol.5 (2), p.209

1999

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Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods

Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods

Searching for improvements in predicting human eye colour from DNA

Challenges in Computational Statistics and Data Mining

Stopping rules for mutual information-based feature selection

Dealing with Data Difficulty Factors While Learning from Imbalanced Data

Joint empirical risk minimization for instance-dependent positive-unlabeled data

A deeper look at two concepts of measuring gene–gene interactions: logistic regression and interaction information revisited

Predicting Physical Appearance from DNA Data-Towards Genomic Solutions

Detection of Conditional Dependence Between Multiple Variables Using Multiinformation

value model selection criteria for exponential families of increasing dimension

Personal Privacy Protection in Time of Big Data

Evolutionary Computation for Real-World Problems

Exact Rate of Convergence of Kernel-Based Classification Rule

Enhancing Naive Classifier for Positive Unlabeled Data Based on Logistic Regression Approach

Selection of Significant Features Using Monte Carlo Feature Selection

Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information

What Do We Choose When We Err? Model Selection and Testing for Misspecified Logistic Regression Revisited

Compound Bipolar Queries: A Step Towards an Enhanced Human Consistency and Human Friendliness

Dependence Factor as a Rule Evaluation Measure

Székely Regularization for Uplift Modeling

Estimation of Entropy from Subword Complexity

Adaptive Monte Carlo Maximum Likelihood

Network Capacity Bound for Personalized Bipartite PageRank

Random-Design Regression under Long-Range Dependent Errors

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