E-LIB Suche - Ergebnisse für: Perrakis, Konstantinos

1

Developments in Statistical Modelling

Contributions to Statistics

Einbeck, Jochen ; Maeng, Hyeyoung ; Ogundimu, Emmanuel. - 1st ed. 2024 . , 2024

Link: https://doi.org/10.1007/..

2

Fire Ignition and Propagation in Hidden Zones of Aircrafts:..:

Papadogianni, Vasiliki N. ; Romeos, Alexandros ; Giannadakis, Athanasios..
Fire. 6 (2023) 8 - p. 292 , 2023

Link: https://doi.org/10.3390/..

3

Artificial intelligence supporting cancer patients across E..:

Tzelves, Lazaros ; Manolitsis, Ioannis ; Varkarakis, Ioannis...
PLOS ONE. 17 (2022) 4 - p. e0265127 , 2022

Link: https://doi.org/10.1371/..

4

Scalable Prediction of Acute Myeloid Leukemia Using High-Di..:

Warnat-Herresthal, Stefanie ; Perrakis, Konstantinos ; Taschler, Bernd...
iScience. 23 (2020) 1 - p. 100780 , 2020

Link: https://doi.org/10.1016/..

5

Variations of power-expected-posterior priors in normal reg..:

Fouskakis, Dimitris ; Ntzoufras, Ioannis ; Perrakis, Konstantinos
Computational Statistics & Data Analysis. 143 (2020) - p. 106836 , 2020

Link: https://doi.org/10.1016/..

6

Scalable Bayesian Regression in High Dimensions With Multip..:

Perrakis, Konstantinos ; Mukherjee, Sach ; The Alzheimer's Disease Neuroimaging Initiative
Journal of Computational and Graphical Statistics. 29 (2019) 1 - p. 28-39 , 2019

Link: https://doi.org/10.1080/..

7

Cone Calorimeter and Thermogravimetric Analysis of Glass Ph..:

Papadogianni, Vasiliki ; Romeos, Alexandros ; Giannadakis, Athanasios..
Fire Technology. 56 (2019) 3 - p. 1253-1285 , 2019

Link: https://doi.org/10.1007/..

8

Bayesian variable selection using the hyper‐g prior in WinB..:

Perrakis, Konstantinos ; Ntzoufras, Ioannis
WIREs Computational Statistics. 10 (2018) 6 - p. , 2018

Link: https://doi.org/10.1002/..

9

Considerations on reaction to fire tests of polyethylene fo..:

Apostolopoulou, Nikolitsa ; Romeos, Alexandros ; Hinopoulos, George..
Journal of Fire Sciences. 36 (2018) 3 - p. 240-255 , 2018

Link: https://doi.org/10.1177/..

10

Bayesian inference for transportation origin–destination ma..:

Perrakis, Konstantinos ; Karlis, Dimitris ; Cools, Mario.
Journal of the Royal Statistical Society. Series A (Statistics in Society). 178 (2015) 1 - p. 271-296 , 2015

Link: http://www.jstor.org/sta..

11

Bayesian Inference for Transportation Origin–Destination Ma..:

Perrakis, Konstantinos ; Karlis, Dimitris ; Cools, Mario.
Journal of the Royal Statistical Society Series A: Statistics in Society. 178 (2014) 1 - p. 271-296 , 2014

Link: https://doi.org/10.1111/..

12

Controlling for seasonal patterns and time varying confound..:

Perrakis, Konstantinos ; Gryparis, Alexandros ; Schwartz, Joel...
Statistics in Medicine. 33 (2014) 28 - p. 4904-4918 , 2014

Link: https://doi.org/10.1002/..

13

On the use of marginal posteriors in marginal likelihood es..:

Perrakis, Konstantinos ; Ntzoufras, Ioannis ; Tsionas, Efthymios G.
Computational Statistics & Data Analysis. 77 (2014) - p. 54-69 , 2014

Link: https://doi.org/10.1016/..

14

A Bayesian approach for modeling origin–destination matrice:

Perrakis, Konstantinos ; Karlis, Dimitris ; Cools, Mario...
Transportation Research Part A: Policy and Practice. 46 (2012) 1 - p. 200-212 , 2012

Link: https://doi.org/10.1016/..

15

Grid connection costs for renewable energy plants in Greece:

, In: 8th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2012),

Bada, Aikaterini I. ; Perrakis, Konstantinos G. - p. 1-6 , 2012

Link: https://doi.org/10.1049/..