Jürgen Pilz

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Model-Based Geostatistics

Hannes Kazianka, Jürgen Pilz, 2011, International Encyclopedia of Statistical Science.

Heuristic Approximation of the MAP Estimator for Automatic Two-channel Sleep Staging

Jürgen Pilz, Thomas Penzel, Shirin Riazy, 2017, BIOSIGNALS.

Segmentation and Classification of Hyper-Spectral Skin Data

Hannes Kazianka, Jürgen Pilz, Raimund Leitner, 2007, GfKl.

Statistical Methodology for Evaluating Process-Based Climate Models

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

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..

Sampling Decision System in semiconductor manufacturing using Virtual Metrology

Jürgen Pilz, Daniel Kurz, Cristina De Luca, 2012, 2012 IEEE International Conference on Automation Science and Engineering (CASE).

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.

Spatial Statistics

Jürgen Pilz, 2011, International Encyclopedia of Statistical Science.

Bayesian Prediction of SMART Power Semiconductor Lifetime with Bayesian Networks

Jürgen Pilz, Kathrin Plankensteiner, Olivia Bluder, 2014 .

Decision-Theoretical Model for Failures Which are Tackled by Countermeasures

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

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.

Device Level Maverick Screening - Application of Independent Component Analysis in Semiconductor Industry

Jürgen Pilz, Olivia Bluder, Anja Zernig, 2016 .

A sampling decision system for semiconductor manufacturing - relying on virtual metrology and actual measurements

Jürgen Pilz, Daniel Kurz, Simone Pampuri, 2014, Proceedings of the Winter Simulation Conference 2014.

An Explicit Solution for Image Restoration using Markov Random Fields

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

Network optimization algorithms and scenarios in the context of automatic mapping

Jürgen Pilz, Gerard B. M. Heuvelink, Albrecht Gebhardt, 2011, Comput. Geosci..

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

Introduction to this special issue on geoinformatics for environmental surveillance

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

Modeling and prediction of smart power semiconductor lifetime data using a Gaussian process prior

Jürgen Pilz, Kathrin Plankensteiner, Olivia Bluder, 2014, Proceedings of the Winter Simulation Conference 2014.

Device level Maverick screening - detection of risk devices through Independent Component Analysis

Jürgen Pilz, Olivia Bluder, Anja Zernig, 2014, Proceedings of the Winter Simulation Conference 2014.

A new bivariate exponential distribution for modeling moderately negative dependence

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

An advanced area scaling approach for semiconductor burn-in

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

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..

Statistical Design of Experiments (DOE)

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

Applying Bayesian mixtures-of-experts models to statistical description of smart power semiconductor reliability

Jürgen Pilz, Michael Glavanovics, Olivia Bluder, 2011, Microelectron. Reliab..

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

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

Failure probability estimation with differently sized reference products for semiconductor burn-in studies

Jürgen Pilz, Daniel Kurz, Horst Lewitschnig, 2015 .

Daubechies Wavelets for Identification of Rock Variants from IR Spectra

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

Advanced Bayesian Estimation of Weibull Early Life Failure Distributions

Jürgen Pilz, Horst Lewitschnig, Daniel Kurz, 2014, Qual. Reliab. Eng. Int..

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

Jürgen Pilz, Philipp Hungerländer, Christian Truden, 2020, ArXiv.

An Overview on Recent Advances in Statistical Burn-In Modeling for Semiconductor Devices

Jürgen Pilz, Daniel Kurz, Horst Lewitschnig, 2015 .

Bayesian spatial modeling and interpolation using copulas

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

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

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

Point Based Deep Learning to Automate Automotive Assembly Simulation Model Generation with Respect to the Digital Factory

Jürgen Pilz, Stefan Bartscher, Christina Petschnigg, 2020, 2020 9th International Conference on Industrial Technology and Management (ICITM).

Unsupervised Algorithm to Detect Damage Patterns in Microstructure Images of Metal Films

Jürgen Pilz, Dzenana Alagic, 2018, 2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS).

Variational Inference to Measure Model Uncertainty in Deep Neural Networks pdf

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

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.

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

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

Quantification and Prediction of Damage in SAM Images of Semiconductor Devices

Jürgen Pilz, Olivia Bluder, Dzenana Alagic, 2018, ICIAR.

Dynamic Maintenance in semiconductor manufacturing using Bayesian networks

Jürgen Pilz, Daniel Kurz, Johannes Kaspar, 2011, 2011 IEEE International Conference on Automation Science and Engineering.

Bayes Optimal Design of Monitoring Networks

Jürgen Pilz, 1992 .

A Sampling Decision System for Virtual Metrology in Semiconductor Manufacturing

Jürgen Pilz, Daniel Kurz, Cristina De Luca, 2015, IEEE Transactions on Automation Science and Engineering.

Analysis of Areal and Spatial Interaction Data

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

Application of a Gaussian Process Prior to Predict Smart Power Semiconductor Lifetime Data

Jürgen Pilz, Kathrin Plankensteiner, Olivia Bluder, 2014 .

IDENTIFICATION OF RISK DEVICES USING INDEPENDENT COMPONENT ANALYSIS FOR SEMICONDUCTOR MEASUREMENT DATA

Jürgen Pilz, Olivia Bluder, Anja Zernig, 2017 .

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

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

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.

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).

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

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

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.

Bayesian Trans-Gaussian Kriging with Log-Log Transformed Skew Data

Hannes Kazianka, Jürgen Pilz, Gunter Spöck, 2009 .

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.

Construction of optimal designs in random coefficient regression models

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

Interfacing geostatistics and GIS

Jürgen Pilz, 2009 .

Spatial sampling design and covariance-robust minimax prediction based on convex design ideas

Jürgen Pilz, Gunter Spöck, G. Spöck, 2010 .

Incorporating covariance estimation uncertainty in spatial sampling design for prediction with trans-Gaussian random fields

Jürgen Pilz, Gunter Spöck, G. Spöck, 2015, Front. Environ. Sci..

Why do we need and how should we implement Bayesian kriging methods

Jürgen Pilz, Gunter Spöck, G. Spöck, 2008 .

Minimax linear regression estimation with symmetric parameter restrictions

Jürgen Pilz, J. Pilz, 1986 .

A Bayesian approach to estimating linear mixtures with unknown covariance structure

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

Bayesian estimation and experimental design in linear regression models

Jürgen Pilz, J. Pilz, 1992 .

Spatial Interpolation Using Copula-Based Geostatistical Models

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

Spatio-temporal interpolation of precipitation during monsoon periods in Pakistan

Jürgen Pilz, Gunter Spöck, Ijaz Hussain, 2010 .

Once more: optimal experimental design for regression models (with discussion)

Jürgen Pilz, Hans Bandemer, Wolfgang Näther, 1987 .

Robust Bayes Linear Prediction of Regionalized Variables

Jürgen Pilz, J. Pilz, 1994 .

Failure probability estimation under additional subsystem information with application to semiconductor burn-in

Jürgen Pilz, Daniel Kurz, Horst Lewitschnig, 2017 .

Objective Bayesian analysis of spatial data with uncertain nugget and range parameters

Hannes Kazianka, Jürgen Pilz, J. Pilz, 2012 .

Bayes designs for multiple linear regression on the unit sphere

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

Copula-based geostatistical modeling of continuous and discrete data including covariates

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

The human cost of global warming: Deadly landslides and their triggers (1995-2014).

Jürgen Pilz, Wahyu Wilopo, Ping Lu, 2019, The Science of the total environment.