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Arthropod Assemblages Are Best Predicted by Plant Species Composition

Ecology (Durham), 2008-03, Vol.89 (3), p.782-794

2008

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Differential Evolution Markov Chain with snooker updater and fewer chains

Statistics and computing, 2008, Vol.18 (4), p.435-446

2008

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Predicting and understanding transcription factor interactions based on sequence level determinants of combinatorial control

Bioinformatics, 2008-01, Vol.24 (1), p.26-33

2008

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Gene Regulatory Networks from Multifactorial Perturbations Using Graphical Lasso: Application to the DREAM4 Challenge

PloS one, 2010-12, Vol.5 (12), p.e14147-e14147

2010

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Undergrowth as a biomonitor for deposition of nitrogen and acidity in pine forest

Forest ecology and management, 1999-02, Vol.114 (1), p.83-95

1999

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A risk assessment-driven quantitative comparison of gene expression profiles in PBMCs and white adipose tissue of humans and rats after isoflavone supplementation

Food and chemical toxicology, 2016-09, Vol.95, p.203-210

2016

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Flow thresholds for leaf retention in hydrodynamic wakes downstream of obstacles

Ecohydrology, 2017-10, Vol.10 (7), p.n/a

2017

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Combining the fourth-corner and the RLQ methods for assessing trait responses to environmental variation

Ecology (Durham), 2014-01, Vol.95 (1), p.14-21

2014

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Relationship between epiphytic lichens, trace elements and gaseous atmospheric pollutants

Environmental pollution (1987), 2001-01, Vol.112 (2), p.163-169

2001

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Testing the significance of canonical axes in redundancy analysis

Methods in ecology and evolution, 2011-06, Vol.2 (3), p.269-277

2011

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Ectomycorrhizal sporocarp occurrence as affected by manipulation of litter and humus layers in Scots pine stands of different age

Applied soil ecology : a section of Agriculture, ecosystems & environment, 1996, Vol.4 (1), p.61-73

1996

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Iteratio: calculating environmental indicator values for species and relevés

Applied vegetation science, 2010-08, Vol.13 (3), p.369-377

2010

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Hydrologic data assimilation using particle Markov chain Monte Carlo simulation: Theory, concepts and applications

Advances in water resources, 2013-01, Vol.51, p.457-478

2013

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Selecting traits that explain species–environment relationships: a generalized linear mixed model approach

Journal of vegetation science, 2013-11, Vol.24 (6), p.988-1000

2013

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Improved testing of species traits-environment relationships in the fourth-corner problem

Ecology (Durham), 2012-07, Vol.93 (7), p.1525-1526

2012

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Reset of a critically disturbed microbial ecosystem: faecal transplant in recurrent Clostridium difficile infection

The ISME Journal, 2014-08, Vol.8 (8), p.1621-1633

2014

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Dispersal versus environmental filtering in a dynamic system: drivers of vegetation patterns and diversity along stream riparian gradients

The Journal of ecology, 2015-11, Vol.103 (6), p.1634-1646

2015

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A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces

Statistics and computing, 2006-09, Vol.16 (3), p.239-249

Braak, Cajo J. F. Ter

2006

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Topics in constrained and unconstrained ordination

Plant ecology, 2015-05, Vol.216 (5), p.683-696

2015

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Early plant recruitment stages set the template for the development of vegetation patterns along a hydrological gradient

Functional ecology, 2015-07, Vol.29 (7), p.971-980

2015

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Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?

Stochastic environmental research and risk assessment, 2009-10, Vol.23 (7), p.1011-1026

2009

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Laser range finder model for autonomous navigation of a robot in a maize field using a particle filter

Computers and electronics in agriculture, 2014-01, Vol.100, p.41-50

2014

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Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation

Water resources research, 2008-12, Vol.44 (12), p.W00B09-n/a

2008

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DREAM (D) : an adaptive Markov Chain Monte Carlo simulation algorithm to solve discrete, noncontinuous, and combinatorial posterior parameter estimation problems

Hydrology and earth system sciences, 2011-01, Vol.15 (12), p.3701-3713

2011

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Networking Our Way to Better Ecosystem Service Provision

Trends in ecology & evolution (Amsterdam), 2016-02, Vol.31 (2), p.105-115

2016

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Arthropod Assemblages Are Best Predicted by Plant Species Composition

Differential Evolution Markov Chain with snooker updater and fewer chains

Predicting and understanding transcription factor interactions based on sequence level determinants of combinatorial control

Gene Regulatory Networks from Multifactorial Perturbations Using Graphical Lasso: Application to the DREAM4 Challenge

Undergrowth as a biomonitor for deposition of nitrogen and acidity in pine forest

A risk assessment-driven quantitative comparison of gene expression profiles in PBMCs and white adipose tissue of humans and rats after isoflavone supplementation

Flow thresholds for leaf retention in hydrodynamic wakes downstream of obstacles

Combining the fourth-corner and the RLQ methods for assessing trait responses to environmental variation

Relationship between epiphytic lichens, trace elements and gaseous atmospheric pollutants

Testing the significance of canonical axes in redundancy analysis

Ectomycorrhizal sporocarp occurrence as affected by manipulation of litter and humus layers in Scots pine stands of different age

Iteratio: calculating environmental indicator values for species and relevés

Hydrologic data assimilation using particle Markov chain Monte Carlo simulation: Theory, concepts and applications

Selecting traits that explain species–environment relationships: a generalized linear mixed model approach

Improved testing of species traits-environment relationships in the fourth-corner problem

Reset of a critically disturbed microbial ecosystem: faecal transplant in recurrent Clostridium difficile infection

Dispersal versus environmental filtering in a dynamic system: drivers of vegetation patterns and diversity along stream riparian gradients

A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces

Topics in constrained and unconstrained ordination

Early plant recruitment stages set the template for the development of vegetation patterns along a hydrological gradient

Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?

Laser range finder model for autonomous navigation of a robot in a maize field using a particle filter

Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation

DREAM (D) : an adaptive Markov Chain Monte Carlo simulation algorithm to solve discrete, noncontinuous, and combinatorial posterior parameter estimation problems

Networking Our Way to Better Ecosystem Service Provision

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