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Reinhard Furrer
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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
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
Additive Bayesian Network Modeling with the R Package abn. J. Stat. Softw. 105(8) (2023) - [j11]Leila A. Schuh
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
Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors. Comput. Biol. Medicine 147: 105740 (2022) - [j9]Jakob A. Dambon
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
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
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
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
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
Asymptotic properties of multivariate tapering for estimation and prediction. J. Multivar. Anal. 149: 177-191 (2016) - 2015
- [c1]Reik Leiterer, Reinhard Furrer
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
Scale space multiresolution analysis of random signals. Comput. Stat. Data Anal. 55(10): 2840-2855 (2011)
2000 – 2009
- 2009
- [j1]Reinhard Furrer
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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