Browsing by MSC "62"

Now showing items 41-60 of 74

    • 0648a - Mini-Workshop: Statistical Methods for Inverse Problems 

      [OWR-2006-51] (2006) - (26 Nov - 02 Dec 2006)
      Inverse problems appear naturally in a broad range of applications. Numerical analysis and statistics have – often independently – developed methods for regularisation and inversion. The aim of this mini-workshop is to ...

    • 0809c - Mini-Workshop: Time Series with Sudden Structural Changes 

      [OWR-2008-12] (2008) - (24 Feb - 01 Mar 2008)

    • 1013 - Modern Nonparametric Statistics: Going Beyond Asymptotic Minimax 

      [OWR-2010-16] (2010) - (28 Mar - 03 Apr 2010)
      During the years 1975-1990 a major emphasis in nonparametric estimation was put on computing the asymptotic minimax risk for many classes of functions. Modern statistical practice indicates some serious limitations of the ...

    • 1608b - New Developments in Functional and Highly Multivariate Statistical Methodology 

      [OWR-2016-12] (2016) - (21 Feb - 27 Feb 2016)
      The central focus of the workshop was on recent developments in statistical techniques for highly multivariate data and functional data. The programme delivered talks on state-of-the-art research in the area, with a number ...

    • 2050a - New Directions in Rough Path Theory (online meeting) 

      [OWR-2020-40] (2020) - (06 Dec - 12 Dec 2020)
      Rough path theory emerged as novel approach for dealing with interactions in complex random systems. It settled significant questions and provided an effective deterministic alternative to Itô calculus, itself a major ...

    • 1437 - New Horizons in Statistical Decision Theory 

      [OWR-2014-41] (2014) - (07 Sep - 13 Sep 2014)
      The classical metric theory of statistical models (experiments) has recently been extended towards an asymptotic equivalence paradigm, allowing to classify and relate problems which are essentially infinite dimensional and ...

    • 0447 - New Inference Concepts for Analysing Complex Data 

      [OWR-2004-52] (2004) - (14 Nov - 20 Nov 2004)
      The main purpose of this workshop was to assemble international leaders from statistics and machine learning to identify important research problems, to cross-fertilize between the disciplines, and to ultimately start ...

    • Non-Standard Behavior of Density Estimators for Sums of Squared Observations 

      [OWP-2008-07] Schick, Anton; Wefelmeyer, Wolfgang (Mathematisches Forschungsinstitut Oberwolfach, 2008-03-11)
      It has been shown recently that, under an appropriate integrability condition, densities of functions of independent and identically distributed random variables can be estimated at the parametric rate by a local U-statistic, ...

    • On the prediction of stationary functional time series 

      [OWP-2014-06] Aue, Alexander; Dubart Norinho, Diogo; Hörmann, Siegfried (Mathematisches Forschungsinstitut Oberwolfach, 2014-04-25)
      This paper addresses the prediction of stationary functional time series. Existing contributions to this problem have largely focused on the special case of first-order functional autoregressive processes because of their ...

    • Positive Margins and Primary Decomposition 

      [OWP-2012-06] Kahle, Thomas; Rauh, Johannes; Sullivant, Seth (Mathematisches Forschungsinstitut Oberwolfach, 2012)
      We study random walks on contingency tables with fixed marginals, corresponding to a (log-linear) hierarchical model. If the set of allowed moves is not a Markov basis, then there exist tables with the same marginals that ...

    • 1521 - Probabilistic Techniques in Modern Statistics 

      [OWR-2015-26] (2015) - (17 May - 23 May 2015)
      The aim of the workshop was to bring together researchers in modern probability theory and statistics to discuss recent advances and challenging open problems at the intersection of both fields. It focussed on the most ...

    • 0645 - Qualitative Assumptions and Regularization in High-Dimensional Statistics 

      [OWR-2006-49] (2006) - (05 Nov - 11 Nov 2006)
      Important and exciting developments are currently underway in nonparametric statistics involving inter-play between qualitative constraints, penalization, and regularization methods. Some of these developments are taking ...

    • Rate of Convergence of the Density Estimation of Regression Residual 

      [OWP-2012-08] Györfi, László; Walk, Harro (Mathematisches Forschungsinstitut Oberwolfach, 2012)
      Consider the regression problem with a response variable $Y$ and with a $d$-dimensional feature vector $X$. For the regression function $m(x) = \mathbb{E}\{Y|X = x\}$, this paper investigates methods for estimating the ...

    • 2220 - Re-thinking High-dimensional Mathematical Statistics 

      [OWR-2022-25] (2022) - (15 May - 21 May 2022)
      The workshop highlighted recent theoretical advances on inference in high-dimensional statistical models based on the interplay of techniques from mathematical statistics, machine learning, theoretical computer science ...

    • 0743 - Reassessing the Paradigms of Statistical Model-Building 

      [OWR-2007-50] (2007) - (21 Oct - 27 Oct 2007)
      Statistical model-building is the science of constructing models from data and from information about the data-generation process, with the aim of analysing those data and drawing inference from that analysis. Many statistical ...

    • 0712 - Semiparametric and Nonparametric Methods in Econometrics 

      [OWR-2007-15] (2007) - (18 Mar - 24 Mar 2007)
      The main objective of this workshop was to bring together mathematical statisticians and econometricians who work in the field of nonparametric and semiparametric statistical methods. Nonparametric and semiparametric methods ...

    • 0912 - Sparse Recovery Problems in High Dimensions: Statistical Inference and Learning Theory 

      [OWR-2009-16] (2009) - (15 Mar - 21 Mar 2009)
      The statistical analysis of high dimensional data requires new techniques, extending results from nonparametric statistics, analysis, probability, approximation theory, and theoretical computer science. The main problem ...

    • 1919 - Statistical and Computational Aspects of Learning with Complex Structure 

      [OWR-2019-22] (2019) - (05 May - 11 May 2019)
      The recent explosion of data that is routinely collected has led scientists to contemplate more and more sophisticated structural assumptions. Understanding how to harness and exploit such structure is key to improving the ...

    • 1339 - Statistical Inference for Complex Time Series Data 

      [OWR-2013-48] (2013) - (22 Sep - 28 Sep 2013)
      During recent years the focus of scientific interest has turned from low dimensional stationary time series to nonstationary time series and high dimensional time series. In addition new methodological challenges are coming ...

    • 1811 - Statistical Inference for Structured High-dimensional Models 

      [OWR-2018-12] (2018) - (11 Mar - 17 Mar 2018)
      High-dimensional statistical inference is a newly emerged direction of statistical science in the 21 century. Its importance is due to the increasing dimensionality and complexity of models needed to process and understand ...