Zobrazeno 1 - 10
of 926
pro vyhledávání: '"Jirak, P"'
Autor:
Jirak, Moritz, Köstenberger, Georg
In two landmark papers, Akaike introduced the AIC and FPE, demonstrating their significant usefulness for prediction. In subsequent seminal works, Shibata developed a notion of asymptotic efficiency and showed that both AIC and FPE are optimal, setti
Externí odkaz:
http://arxiv.org/abs/2406.13513
Autor:
Bernotat, Jasmin, Jirak, Doreen, Sandoval, Eduardo Benitez, Cruz, Francisco, Sciutti, Alessandra
We present a research outline that aims at investigating group dynamics and peer pressure in the context of industrial robots. Our research plan was motivated by the fact that industrial robots became already an integral part of human-robot co-workin
Externí odkaz:
http://arxiv.org/abs/2308.13307
Human-robot interaction (HRI) benefits greatly from advances in the machine learning field as it allows researchers to employ high-performance models for perceptual tasks like detection and recognition. Especially deep learning models, either pre-tra
Externí odkaz:
http://arxiv.org/abs/2210.17421
Autor:
Jirak, Moritz, Wahl, Martin
Given finite i.i.d.~samples in a Hilbert space with zero mean and trace-class covariance operator $\Sigma$, the problem of recovering the spectral projectors of $\Sigma$ naturally arises in many applications. In this paper, we consider the problem of
Externí odkaz:
http://arxiv.org/abs/2208.12871
Historical observations of severe weather and simulated severe weather environments (i.e., features) from the Global Ensemble Forecast System v12 (GEFSv12) Reforecast Dataset (GEFS/R) are used in conjunction to train and test random forest (RF) machi
Externí odkaz:
http://arxiv.org/abs/2208.02383
Publikováno v:
Cognitive Computation 15, 2014-2033 (2023)
As robots are expected to get more involved in people's everyday lives, frameworks that enable intuitive user interfaces are in demand. Hand gesture recognition systems provide a natural way of communication and, thus, are an integral part of seamles
Externí odkaz:
http://arxiv.org/abs/2205.15862
Autor:
Gruber, Hanna, Jirak, Moritz
We consider a time-varying first-order autoregressive model with irregular innovations, where we assume that the coefficient function is H\"{o}lder continuous. To estimate this function, we use a quasi-maximum likelihood based approach. A precise con
Externí odkaz:
http://arxiv.org/abs/2201.09346
Autor:
Jirak, Moritz
Motivated from option and derivative pricing, this note develops Edgeworth expansions both in the Kolmogorov and Wasserstein metric for many different types of discrete time volatility models and their possible transformations. This includes, among o
Externí odkaz:
http://arxiv.org/abs/2111.00529
Autor:
Vera Paar, Michael Haslinger, Philipp Krombholz-Reindl, Stefan Pittner, Matthias Neuner, Peter Jirak, Tobias Kolbitsch, Bernd Minnich, Falk Schrödl, Alexandra Kaser-Eichberger, Kristen Kopp, Andreas Koller, Clemens Steinwender, Michael Lichtenauer, Fabio C. Monticelli, Rainald Seitelberger, Uta C. Hoppe, Christian Dinges, Lukas J. Motloch
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Introduction: Hypertrophies of the cardiac septum are caused either by aortic valve stenosis (AVS) or by congenital hypertrophic obstructive cardiomyopathy (HOCM). As they induce cardiac remodeling, these cardiac pathologies may promote an arrhythmog
Externí odkaz:
https://doaj.org/article/78c32d47ee014a5495a47d06850ea9cb
Autor:
Jirak, Moritz
Suppose that the (normalised) partial sum of a stationary sequence converges to a standard normal random variable. Given sufficiently moments, when do we have a rate of convergence of $n^{-1/2}$ in the uniform metric, in other words, when do we have
Externí odkaz:
http://arxiv.org/abs/2008.07332