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2020 – today
- 2024
[i5]Tim Gyger, Reinhard Furrer, Fabio Sigrist:
Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data. CoRR abs/2405.14492 (2024)- 2023
- [j13]Duccio Rocchini, Jakub Nowosad
, Rossella D'Introno, Ludovico Chieffallo, Giovanni Bacaro, Roberto Cazzolla Gatti, Giles M. Foody, Reinhard Furrer, Lukás Gábor, Marco Malavasi, Matteo Marcantonio, Elisa Marchetto, Vítezslav Moudrý, Carlo Ricotta, Petra Símová, Michele Torresani, Elisa Thouverai:
Scientific maps should reach everyone: The cblindplot R package to let colour blind people visualise spatial patterns. Ecol. Informatics 76: 102045 (2023) - [j12]Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer:
Additive Bayesian Network Modeling with the R Package abn. J. Stat. Softw. 105(8) (2023) - [j11]Leila A. Schuh, Maria J. Santos, Michael E. Schaepman, Reinhard Furrer:
An Empirical Bayesian Approach to Quantify Multi-Scale Spatial Structural Diversity in Remote Sensing Data. Remote. Sens. 15(1): 14 (2023) - [c3]Nikolai Kalischek, Rodrigo Caye Daudt, Torben Peters, Reinhard Furrer, Jan D. Wegner, Konrad Schindler:
BiasBed - Rigorous Texture Bias Evaluation. CVPR 2023: 22221-22230 - 2022
- [j10]Matteo Delucchi, Georg Ralph Spinner, Marco Scutari, Philippe Bijlenga, Sandrine Morel, Christoph M. Friedrich, Reinhard Furrer, Sven Hirsch:
Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors. Comput. Biol. Medicine 147: 105740 (2022) - [j9]Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer:
Joint variable selection of both fixed and random effects for Gaussian process-based spatially varying coefficient models. Int. J. Geogr. Inf. Sci. 36(12): 2525-2548 (2022) - [i4]Nikolai Kalischek, Rodrigo Caye Daudt, Torben Peters, Reinhard Furrer, Jan D. Wegner, Konrad Schindler:
BiasBed - Rigorous Texture Bias Evaluation. CoRR abs/2211.13190 (2022) - 2021
- [j8]Craig Wang, Reinhard Furrer:
Combining heterogeneous spatial datasets with process-based spatial fusion models: A unifying framework. Comput. Stat. Data Anal. 161: 107240 (2021) - 2020
- [c2]Leila A. Schuh, Reinhard Furrer, Michael E. Schaepman, Maria J. Santos, Rogier de Jong:
Advancing Texture Metrics to Model Landscape Heterogeneity. IGARSS 2020: 2735-2738
2010 – 2019
- 2019
- [j7]Florian Gerber, Reinhard Furrer:
optimParallel: An R Package Providing a Parallel Version of the L-BFGS-B Optimization Method. R J. 11(1): 352 (2019) - [i3]Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer:
Additive Bayesian Network Modelling with the R Package abn. CoRR abs/1911.09006 (2019) - 2018
- [j6]Florian Gerber, Kaspar Mösinger, Reinhard Furrer:
dotCall64: An R package providing an efficient interface to compiled C, C++, and Fortran code supporting long vectors. SoftwareX 7: 217-221 (2018) - [j5]Florian Gerber, Rogier de Jong, Michael E. Schaepman, Gabriela Schaepman-Strub, Reinhard Furrer:
Predicting Missing Values in Spatio-Temporal Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 56(5): 2841-2853 (2018) - [i2]Gilles Kratzer, Reinhard Furrer:
varrank: an R package for variable ranking based on mutual information with applications to observed systemic datasets. CoRR abs/1804.07134 (2018) - [i1]Gilles Kratzer, Reinhard Furrer:
Information-Theoretic Scoring Rules to Learn Additive Bayesian Network Applied to Epidemiology. CoRR abs/1808.01126 (2018) - 2017
- [j4]Florian Gerber, Kaspar Mösinger, Reinhard Furrer:
Extending R packages to support 64-bit compiled code: An illustration with spam64 and GIMMS NDVI3g data. Comput. Geosci. 104: 109-119 (2017) - 2016
- [j3]Reinhard Furrer, François Bachoc, Juan Du:
Asymptotic properties of multivariate tapering for estimation and prediction. J. Multivar. Anal. 149: 177-191 (2016) - 2015
- [c1]Reik Leiterer, Reinhard Furrer, Michael E. Schaepman, Felix Morsdorf:
Retrieval of canopy structure types for forest characterization using multi-temporal airborne laser scanning. IGARSS 2015: 2650-2653 - 2011
- [j2]Lasse Holmström, Leena Pasanen, Reinhard Furrer, Stephan R. Sain:
Scale space multiresolution analysis of random signals. Comput. Stat. Data Anal. 55(10): 2840-2855 (2011)
2000 – 2009
- 2009
- [j1]Reinhard Furrer, Stephan R. Sain:
Spatial model fitting for large datasets with applications to climate and microarray problems. Stat. Comput. 19(2): 113-128 (2009)
Coauthor Index
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