Deutsch | Englisch  | drucken


Dr. Manuel Wiesenfarth

ehemaliger Mitarbeiter

nun bei

Deutsches Krebsforschungszentrum Heidelberg (DKFZ)

 

 

Publications in Refereed Journals

Wiesenfarth, M., Hisgen, C. M., Kneib, T., Cadarso-Suarez, C. (2014). Bayesian Nonparametric Instrumental Variables Regression based on Penalized Splines and Dirichlet Process Mixtures. Journal of Business & Economic Statistics (accepted).

Wiesenfarth, M., Krivobokova, T., Klasen, S., Sperlich, S. (2012) Direct Simultaneous Inference in Additive Models and its Application to Model Undernutrition. Journal of the American Statistical Association, 107(500): 1286-1296. / Preprint

Wiesenfarth, M., Kneib, T. (2010). Bayesian Geoadditive Sample Selection Models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 59(3): 381-404. / Preprint

    Software

    AdaptFitOS: R package that accompanies the paper "Direct Simultaneous Inference in Additive Models and its Application to Model Undernutrition". Fits semiparametric regression models with spatially adaptive penalized splines and computes simultaneous confidence bands. Windows binary / on cran.r-project.org

    bayesIV: R package accompanying papers on Bayesian geoadditive sample selection models and nonparametric instrumental variable regression. See help("bayesIV-package") for an overview. Windows binary

    PhD Thesis

    Wiesenfarth, M (2012). Estimation and Inference in Special Nonparametirc Models with Applications to Topics in Develpment Economics. Supervised by Prof. Tatyana Krivobokova

    Lehre

    HWS 2012 Ökonometrie und Programmieren in Stata
    FSS 2013 Impact evaluation, treatment effects, causal analysis
    HWS 2013 Ökonometrie und Programmieren in Stata
    FSS 2014 Impact evaluation, treatment effects, causal analysis