J. Pilz

Kathrin Plankensteiner, Olivia Bluder, Jurgen Pilz, 2013, Proceedings of the 2013 9th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME).

Monitoring virtual metrology reliability in a sampling decision system

Jürgen Pilz, Daniel Kurz, Cristina De Luca, 2013, 2013 IEEE International Conference on Automation Science and Engineering (CASE).

Bayesian spatial modeling and interpolation using copulas

Hannes Kazianka, Jürgen Pilz, J. Pilz, 2011, Comput. Geosci..

A novel approach for extraction of Gaoshanhe-Group outcrops using Landsat Operational Land Imager (OLI) data in the heavily loess-covered Baoji District, Western China

Jürgen Pilz, Fan Yang, Dehui Zhang, 2018, Ore Geology Reviews.

An Explicit Solution for Image Restoration using Markov Random Fields

Jürgen Pilz, Stefan Schrunner, Martin Pleschberger, 2019, J. Signal Process. Syst..

Bayes designs for multiple linear regression on the unit sphere

Jürgen Pilz, J. Pilz, J. Gladitz, 1982 .

Robust bayes and minimax-bayes estimation design in linear regression 1

J. Pilz, J. Pilz, 1981 .

Optimum Experimental Design for a Bayes Estimator in Linear Regression

H. Bandemer, J. Pilz, 1978 .

Estimation and experimental design in a linear regression model using prior information

W. Näther, J. Pilz, 1980 .

Minimax Linear Approgression Estimation for Finite Dimensional Classes of Regression Functions

J. Pilz, 1988 .

Climate variability and its impacts on water resources in the Upper Indus Basin under IPCC climate change scenarios

J. Pilz, D. Wiberg, M. Amjad, 2015 .

From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling

J. Pilz, Christina Petschnigg, Markus Spitzner, 2021, ArXiv.

Uncertainty aware deep point based neural network for 3D object classification

Jürgen Pilz, Christina Petschnigg, J. Pilz, 2021 .

Robust Bayes Linear Prediction of Regionalized Variables

Jürgen Pilz, J. Pilz, 1994 .

Variational Inference to Measure Model Uncertainty in Deep Neural Networks pdf

Jürgen Pilz, Jan Steinbrener, Konstantin Posch, 2019, ArXiv.

Evaluation of CMIP5 models and ensemble climate projections using a Bayesian approach: a case study of the Upper Indus Basin, Pakistan

J. Pilz, Shaukat Ali, F. Khan, 2021, Environmental and Ecological Statistics.

Spatio-temporal interpolation of precipitation during monsoon periods in Pakistan

Jürgen Pilz, Gunter Spöck, Ijaz Hussain, 2010 .

Jürgen Pilz, Konstantin Posch, J. Pilz, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference

Jürgen Pilz, Jan Steinbrener, Konstantin Posch, 2020, Sensors.

Application of unsupervised learning of finite mixture models in ASTER VNIR data-driven land use classification

Jürgen Pilz, Bo Zhao, Junping Shen, 2019, Journal of Spatial Science.

Improved hydrological projections and reservoir management in the Upper Indus Basin under the changing climate

J. Pilz, Shaukat Ali, F. Khan, 2017 .

A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants pdf

Jürgen Pilz, Philipp Hungerländer, Christian Truden, 2020, International Journal of Forecasting.

An Explicit Distribution to Model the Proportion of Heating Degree Day and Cooling Degree Day

Jürgen Pilz, Muhammad Mohsin, Albrecht Gebhardt, 2016, Commun. Stat. Simul. Comput..

Decision-Theoretical Model for Failures Which are Tackled by Countermeasures

Jürgen Pilz, Daniel Kurz, Horst Lewitschnig, 2014, IEEE Transactions on Reliability.

INTAMAP: The design and implementation of an interoperable automated interpolation web service

Jürgen Pilz, Grégoire Dubois, Dan Cornford, 2011, Comput. Geosci..

Daubechies Wavelets for Identification of Rock Variants from IR Spectra

Jürgen Pilz, Vera Hofer, Thorgeir S. Helgason, 2009 .

Integrated Approach for Lithological Classification Using ASTER Imagery in a Shallowly Covered Region—The Eastern Yanshan Mountain of China

Jürgen Pilz, Lu Li, Jingyu Lin, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Bayesian Approach for GCMs Selection and Ensemble Projections under the latest Emission Scenarios

Jürgen Pilz, Firdos Khan, J. Pilz, 2017 .

Robust additive Gaussian process models using reference priors and cut-off-designs

Jürgen Pilz, Michael Ortner, Natalie Vollert, 2019, Applied Mathematical Modelling.

A new bivariate exponential distribution for modeling moderately negative dependence

Hannes Kazianka, Jürgen Pilz, Muhammad Mohsin, 2014, Stat. Methods Appl..

A Clustering Based Image Segmentation Procedure to Automatically Detect Grains in Polycrystalline Materials

J. Pilz, Dzenana Alagic, 2020 .

Bayesian Network Model with Application to Smart Power Semiconductor Lifetime Data

Jürgen Pilz, Kathrin Plankensteiner, Olivia Bluder, 2015, Risk analysis : an official publication of the Society for Risk Analysis.

Statistical Methodology for Evaluating Process-Based Climate Models

Jürgen Pilz, Firdos Khan, J. Pilz, 2018, Climate Change and Global Warming.

Statistical Analysis of QKD Networks in Real-Life Environments

S. Rass, J. Pilz, S. Schauer, 2009, 2009 Third International Conference on Quantum, Nano and Micro Technologies.

Spatial Interpolation Using Copula-Based Geostatistical Models

Hannes Kazianka, Jürgen Pilz, J. Pilz, 2010 .

Impact of increased temperature on malaria transmission in Burundi

J. Pilz, Herménégilde Nkurunziza, 2011 .

Survey of recent advanced statistical models for early life failure probability assessment in semiconductor manufacturing

Jürgen Pilz, Daniel Kurz, Horst Lewitschnig, 2014, Proceedings of the Winter Simulation Conference 2014.

An advanced area scaling approach for semiconductor burn-in

Jürgen Pilz, Horst Lewitschnig, Daniel Kurz, 2015, Microelectron. Reliab..

Analysis of Areal and Spatial Interaction Data

Jürgen Pilz, Gunter Spöck, G. Spöck, 2011, International Encyclopedia of Statistical Science.

A Bayesian approach to estimating linear mixtures with unknown covariance structure

Hannes Kazianka, Jürgen Pilz, J. Pilz, 2011 .

Likelihood and objective Bayesian modeling of acidity and major ions in rainfall using a bivariate pseudo-Gamma distribution

Hannes Kazianka, Jürgen Pilz, Muhammad Mohsin, 2013, Comput. Geosci..

Benefits and Application of Tree Structures in Gaussian Process Models to Optimize Magnetic Field Shaping Problems

Jürgen Pilz, Michael Ortner, Natalie Vollert, 2015 .

Statistical Design of Experiments (DOE)

Jürgen Pilz, J. Pilz, 2011, International Encyclopedia of Statistical Science.