Results 41 to 50 of about 868,117 (329)

Einfluss der Art der Materialgewinnung auf die Diagnosefindung in der Lungenpathologie [PDF]

open access: yes, 2019
Das Ziel der Arbeit ist die Darstellung der Möglichkeiten der Kryobiopsien für die Diagnostik von Lungenerkrankungen und Pleuraerkrankungen. Es wurde zunächst gezeigt, dass die transbronchialen Kryobiopsien einen deutlichen morphologischen Unterschied ...
Griff, Sergej
core   +1 more source

Kernel methods

open access: yes, 2023
This chapter introduces a powerful class of machine learning approaches called kernel methods, which present an alternative to arguably more widely known neural network approaches. Kernel methods can learn even highly nonlinear problems by making an implicit transformation from a low-dimensional input space into a higher-dimensional feature space. This
Pinheiro Jr, Max, Dral, Pavlo
openaire   +1 more source

Restricted Tweedie stochastic block models

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

Rank‐based estimation of propensity score weights via subclassification

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang   +3 more
wiley   +1 more source

Predicting cervical cancer DNA methylation from genetic data using multivariate CMMP

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Epigenetic modifications link the environment to gene expression and play a crucial role in tumour development. DNA methylation, in particular, is gaining attention in cancer research, including cervical cancer, the focus of this study.
Hang Zhang   +5 more
wiley   +1 more source

Pengaruh Metode Penemuan Terbimbing Dan Kemampuan Berpikir Kritis Terhadap Kemampuan Matematika Siswa Kelas IV SD Sekecamatan Setiabudi Jakarta Selatan [PDF]

open access: yes, 2016
ABSTRAC : This research goals to determined the effect of Instructional Media and Self Regulated Learning toward Mathematics ability. The research was conducted in 4th grade state primary school Menteng Atas 11 Pagi Setiabudi South Jakarta in 2nd ...
Jumhariyani, J. (Jumhariyani)
core   +3 more sources

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne   +2 more
wiley   +1 more source

Einsatz von Multi-Touch beim Softwaredesign am Beispiel der CRC Card-Methode [PDF]

open access: yes, 2008
Die Class, Responsibility and Collaboration (CRC) Card-Methode wird im Rahmen der Softwareentwicklung als Designmethode insbesondere in agilen Softwareentwicklungsprozessen eingesetzt. Die Anwendung der Methode findet i.d.R.
Eicker, Stefan   +2 more
core  

Asymptotic properties of cross‐classified sampling designs

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

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