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of 562
pro vyhledávání: '"62h99"'
Autor:
Kennerberg, Philip, Wit, Ernst C.
The aim of this paper is to extend worst risk minimization, also called worst average loss minimization, to the functional realm. This means finding a functional regression representation that will be robust to future distribution shifts on the basis
Externí odkaz:
http://arxiv.org/abs/2412.00412
The coefficient of variation, which measures the variability of a distribution from its mean, is not uniquely defined in the multidimensional case, and so is the multidimensional Gini index, which measures the inequality of a distribution in terms of
Externí odkaz:
http://arxiv.org/abs/2411.19529
The world is evolving and so is the vocabulary used to discuss topics in speech. Analysing political speech data from more than 30 years requires the use of flexible topic models to uncover the latent topics and their change in prevalence over time a
Externí odkaz:
http://arxiv.org/abs/2410.18486
Scaling political actors based on their individual characteristics and behavior helps profiling and grouping them as well as understanding changes in the political landscape. In this paper we introduce the Structural Text-Based Scaling (STBS) model t
Externí odkaz:
http://arxiv.org/abs/2410.11897
Autor:
Archimbaud, Aurore
Invariant coordinate selection (ICS) is an unsupervised multivariate data transformation useful in many contexts such as outlier detection or clustering. It is based on the simultaneous diagonalization of two affine equivariant and positive definite
Externí odkaz:
http://arxiv.org/abs/2409.02258
An approach to amputation, the process of introducing missing values to a complete dataset, is presented. It allows to construct missingness indicators in a flexible and principled way via copulas and Bernoulli margins and to incorporate dependence i
Externí odkaz:
http://arxiv.org/abs/2407.18572
Autor:
Niyogi, Pratim Guha, Zhong, Ping-Shou
We address the challenge of estimation in the context of constant linear effect models with dense functional responses. In this framework, the conditional expectation of the response curve is represented by a linear combination of functional covariat
Externí odkaz:
http://arxiv.org/abs/2402.13907
Autor:
Trosset, Michael W., Priebe, Carey E.
Multidimensional scaling (MDS) is the act of embedding proximity information about a set of $n$ objects in $d$-dimensional Euclidean space. As originally conceived by the psychometric community, MDS was concerned with embedding a fixed set of proximi
Externí odkaz:
http://arxiv.org/abs/2402.04436
We study statistical inference on unit roots and cointegration for time series in a Hilbert space. We develop statistical inference on the number of common stochastic trends embedded in the time series, i.e., the dimension of the nonstationary subspa
Externí odkaz:
http://arxiv.org/abs/2312.00590
Autor:
Simon, Barry
We tell the story of the discovery of an interesting bound on finite sums and its application to comparison of Ising models.
Comment: Submitted to 50th Anniversary Issue of Journal of Mathematical Sciences. arXiv admin note: text overlap with ar
Comment: Submitted to 50th Anniversary Issue of Journal of Mathematical Sciences. arXiv admin note: text overlap with ar
Externí odkaz:
http://arxiv.org/abs/2311.10031