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industry locationwillingness to paylogit modellogit modellenvironmental regulationregulation industrydiscrete choiceadoption organicorganic horticulturalirrigation waterdiskrete entscheidungenvironmental standardgentechnisch erzeugtes produktgenetically modified producthorticultural technologytechnology ukgm foodeconomic valuevalue irrigationempirical resultspollution havenwater allocationsagricultural developmenttheory of preferencesbetriebliche standortwahlfirm location choiceenvironmental policyconsumer behaviourmodelling adoptionuk usingusing durationpreference heterogeneityheterogeneity gmfood uksupply uncertaintyuncertainty economicfood safetygm foodsrange economicpaper estimatesestimates effecteffect environmentallocation comparescompares determinantsdeterminants locationlocation agriculturalagricultural educationcountry characteristicscharacteristics analysisanalysis basedbased empiricalempirical tradetrade modelmodel capturescaptures interactioninteraction countrycountry industryindustry characteristicscharacteristics determiningdetermining industrylocation johnsonjohnson neymantechnique usedused fullyfully explicatenature conditionalconditional interactionsinteractions modelmodel applied
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56 records from EconBiz based on author Name
1. Anchor regression : Heterogeneous data meet causality
Rothenhäusler, Dominik; Meinshausen, Nicolai; Bühlmann, Peter; Peters, Jonas;2021
Availability: Link
Citations: 27 (based on OpenCitations)
2. Goodness-of-fit testing in high dimensional generalized linear models
Janková, Jana; Shah, Rajen D.; Bühlmann, Peter; Samworth, Richard J.;2020
Availability: Link
3. Deconfounding and Causal Regularisation for Stability and External Validity
Bühlmann, Peter; Ćevid, Domagoj;2020
Availability: Link
Citations: 3 (based on OpenCitations)
4. Splines for financial volatility
Audrino, Francesco; Bühlmann, Peter;2008
Type: Arbeitspapier; Working Paper; Graue Literatur; Non-commercial literature;
Availability:
5. Splines for financial volatility
Audrino, Francesco; Bühlmann, Peter;2007
Type: Arbeitspapier; Working Paper; Graue Literatur; Non-commercial literature;
Availability:
6. Causal statistical inference in high dimensions
Bühlmann, Peter;2013
Type: Aufsatz in Zeitschrift; Article in journal;
7. Bagging, boosting and ensemble methods
abstractEnsemble methods aim at improving the predictive performance of a given statistical learning or model fitting technique. The general principleof ensemble methods is to construct a linear combinationof some model fitting methods, instead of using a single fit of the method.
Bühlmann, Peter;2004
Availability:
8. P-values for high-dimensional regression
Meinshausen, Nicolai; Meier, Lukas; Bühlmann, Peter;2009
Type: Aufsatz in Zeitschrift; Article in journal;
9. Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs
Hauser, Alain; Bühlmann, Peter;2015
Availability: Link
10. High-dimensional variable screening and bias in subsequent inference, with an empirical comparison
Bühlmann, Peter; Mandozzi, Jacopo;2014
Availability: Link
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