Browsing by MSC "62"

Now showing items 1-20 of 76

    • 1411 - Adaptive Statistical Inference 

      [OWR-2014-13] (2014) - (09 Mar - 15 Mar 2014)
      This workshop in mathematical statistics highlights recent advances in adaptive methods for statistical estimation, testing and confidence sets. Related open mathematical problems are discussed with potential impact on the ...

    • 1716 - Algebraic Statistics 

      [OWR-2017-20] (2017) - (16 Apr - 22 Apr 2017)
      Algebraic Statistics is concerned with the interplay of techniques from commutative algebra, combinatorics, (real) algebraic geometry, and related fields with problems arising in statistics and data science. This workshop ...

    • 2249a - Algebraic Structures in Statistical Methodology 

      [OWR-2022-55] (2022) - (04 Dec - 10 Dec 2022)
      Algebraic structures arise naturally in a broad variety of statistical problems, and numerous fruitful connections have been made between algebra and discrete mathematics and research on statistical methodology. The ...

    • 0935 - Challenges in Statistical Theory: Complex Data Structures and Algorithmic Optimization 

      [OWR-2009-39] (2009) - (23 Aug - 29 Aug 2009)
      Technological developments have created a constant incoming stream of complex new data structures that need analysis. Modern statistics therefore means mathematically sophisticated new statistical theory that generates or ...

    • 1542 - Computational Geometric and Algebraic Topology 

      [OWR-2015-45] (2015) - (11 Oct - 17 Oct 2015)
      Computational topology is a young, emerging field of mathematics that seeks out practical algorithmic methods for solving complex and fundamental problems in geometry and topology. It draws on a wide variety of techniques ...

    • 1610 - Computationally and Statistically Efficient Inference for Complex Large-scale Data 

      [OWR-2016-16] (2016) - (06 Mar - 12 Mar 2016)
      The aim of the highly successful workshop Computationally and statistically efficient inference for large-scale and heterogeneous data was to foster dissemination and collaboration between researchers in the area of ...

    • 1516b - Copulae: On the Crossroads of Mathematics and Economics 

      [OWR-2015-20] (2015) - (12 Apr - 18 Apr 2015)
      The central focus of the workshop was on copula theory as well as applications to multivariate stochastic modelling. The programme was intrinsically interdisciplinary and represented areas with much recent progress. The ...

    • 1808 - Design and Analysis of Infectious Disease Studies 

      [OWR-2018-7] (2018) - (18 Feb - 24 Feb 2018)
      This was the fifth workshop on mathematical and statistical methods on the transmission of infectious diseases. Building on epidemiologic models which were the subject of earlier workshops, this workshop concentrated on ...

    • 0945 - Design and Analysis of Infectious Disease Studies 

      [OWR-2009-48] (2009) - (01 Nov - 07 Nov 2009)
      This workshop gathered 45 participants from 16 countries and had a correspondingly multifaceted program covering various infectious diseases, public health applications, and methodological innovations. The discussions and ...

    • 0443 - Design and Analysis of Infectious Disease Studies 

      [OWR-2004-49] (2004) - (17 Oct - 23 Oct 2004)

    • 2308 - Design and Analysis of Infectious Disease Studies 

      [OWR-2023-8] (2023) - (19 Feb - 25 Feb 2023)
      This was the sixth workshop on mathematical and statistical methods for the transmission of infectious diseases. Building on epidemiologic models which were the subject of earlier workshops, this workshop concentrated on ...

    • Detecting Ineffective Features for Pattern Recognition 

      [OWP-2017-26] Györfi, László; Walk, Harro (Mathematisches Forschungsinstitut Oberwolfach, 2017-10-17)
      For a binary classification problem, the hypothesis testing is studied, that a component of the observation vector is not effective, i.e., that component carries no information for the classification. We introduce nearest ...

    • Exact Rate of Convergence of k-Nearest-Neighbor Classification Rule 

      [OWP-2017-25] Györfi, László; Döring, Maik; Walk, Harro (Mathematisches Forschungsinstitut Oberwolfach, 2017-10-16)
      A binary classification problem is considered. The excess error probability of the k-nearest neighbor classification rule according to the error probability of the Bayes decision is revisited by a decomposition of the ...

    • 1922 - Foundations and New Horizons for Causal Inference 

      [OWR-2019-25] (2019) - (26 May - 01 Jun 2019)
      While causal inference is established in some disciplines such as econometrics and biostatistics, it is only starting to emerge as a valuable tool in areas such as machine learning and artificial intelligence. The ...

    • 2118 - Foundations of Bayesian Inference for Complex Statistical Models (hybrid meeting) 

      [OWR-2021-22] (2021) - (02 May - 08 May 2021)
      In this virtual workshop a variety of recent developments in Bayesian high-dimensional and nonparametric statistics were discussed in depth. There were 12 in depth talks delivered via zoom in the afternoons (to allow for ...

    • 1211 - Frontiers in Nonparametric Statistics 

      [OWR-2012-14] (2012) - (11 Mar - 17 Mar 2012)
      The goal of this workshop was to discuss recent developments of nonparametric statistical inference. A particular focus was on high dimensional statistics, semiparametrics, adaptation, nonparametric bayesian statistics, ...

    • 1646 - Large Scale Stochastic Dynamics 

      [OWR-2016-54] (2016) - (13 Nov - 19 Nov 2016)
      The goal of this workshop was to explore the recent advances in the mathematical understanding of the macroscopic properties which emerge on large space-time scales from interacting microscopic particle systems. There were ...

    • 1627b - Learning Theory and Approximation 

      [OWR-2016-33] (2016) - (03 Jul - 09 Jul 2016)
      The main goal of this workshop – the third one of this type at the MFO – has been to blend mathematical results from statistical learning theory and approximation theory to strengthen both disciplines and use synergistic ...

    • 1226 - Learning Theory and Approximation 

      [OWR-2012-31] (2012) - (24 Jun - 30 Jun 2012)
      Learning theory studies data structures from samples and aims at understanding unknown function relations behind them. This leads to interesting theoretical problems which can be often attacked with methods from Approximation ...

    • 0827b - Learning Theory and Approximation 

      [OWR-2008-30] (2008) - (29 Jun - 05 Jul 2008)
      Mathematical analysis of learning algorithms consists of bias measured by various kinds of approximation errors and variance investigated by probability and statistical analysis. This workshop has dealt with new developments ...