Results 41 to 50 of about 284,592 (266)
A non-parametric model for the cosmic velocity field [PDF]
We present a self consistent nonparametric model of the local cosmic velocity field based on the density distribution in the PSCz redshift survey of IRAS galaxies. The error analysis, carried out on mock PSCz catalogues constructed from N-body simulations, reveals uncertainties of ~70 km/sec.
BRANCHINI, ENZO FRANCO +12 more
openaire +2 more sources
A Framework to Model Bursty Electronic Data Interchange Messages for Queueing Systems
Within a supply chain organisation, where millions of messages are processed, reliability and performance of message throughput are important. Problems can occur with the ingestion of messages; if they arrive more quickly than they can be processed, they
Sonya Leech +2 more
doaj +1 more source
Non-parametric and light-field deformable models [PDF]
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications including object recognition, tracking and segmentation. These techniques, however, have been limited to objects with Lambertian surface reflectance, simple geometry and topology.
C. Mario Christoudias +2 more
openaire +2 more sources
DWT based non-parametric texture modeling [PDF]
We propose a non-parametric texture modeling and synthesis technique based on the integer version of the discrete wavelet transform (DWT). The successive levels of the DWT pyramid of the input texture are progressively sampled starting from the signal approximation to generate the analogous wavelet pyramid for the synthetic texture.
openaire +1 more source
Due to the rising usage of various broadcasting systems and web-casting applications, a measurement of audio quality has become an essential task. This paper presents a benchmark of the parametric models for non-intrusive estimation of the audio quality ...
Martin Jakubik, Peter Pocta
doaj +1 more source
A Non-Parametric Generative Model for Human Trajectories [PDF]
Modeling human mobility and synthesizing realistic trajectories play a fundamental role in urban planning and privacy-preserving location data analysis. Due to its high dimensionality and also the diversity of its applications, existing trajectory generative models do not preserve the geometric (and more importantly) semantic features of human ...
Kun Ouyang +3 more
openaire +2 more sources
Non-parametric Models with Instrumental Variables [PDF]
This chapter gives a survey of econometric models characterized by a relation between observable and unobservable random elements where these unobservable terms are assumed to be independent of another set of observable variables called instrumental variables.
openaire +2 more sources
A Bayesian natural cubic B-spline varying coefficient method for non-ignorable dropout
Background Dropout is a common problem in longitudinal clinical trials and cohort studies, and is of particular concern when dropout occurs for reasons that may be related to the outcome of interest. This paper reviews common parametric models to account
Camille M. Moore +3 more
doaj +1 more source
On the pitfalls of Gaussian likelihood scoring for causal discovery
We consider likelihood score-based methods for causal discovery in structural causal models. In particular, we focus on Gaussian scoring and analyze the effect of model misspecification in terms of non-Gaussian error distribution. We present a surprising
Schultheiss Christoph, Bühlmann Peter
doaj +1 more source
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source

