Professuren für Statistik und Ökonometrie

Refereed Papers - Applications

  1. Klasen, S., Kneib, T., Lo Bue, M. C. and Prete V. (2024)
    What’s behind pro-poor growth? An investigation of its drivers and dynamics
    Journal of Economic Inequality, to appear
  2. Minnich, A., Herbst, H., Herminghaus, S., Kneib, T., Wacker, B. and Schlüter, J. C. (2024)
    A Behavioral Economic Perspective on Demand Responsive Transportation
    Transportation Research Interdisciplinary Perspectives, to appear
  3. Dorn, F., Maxand, S. and Kneib, T. (2024)
    The nonlinear dependence of income inequality and carbon emissions: potentials for a sustainable future
    Ecological Economics, to appear
  4. Correa, J. C., Kneib, T., Ospina, R., Tejada, J. and Marmolejo-Ramos, F. (2023)
    Assessing Potential Heteroscedasticity in Psychological Data: A GAMLSS approach
    The Quantitative Methods for Psychology, 19, 333-346
  5. Razen, A., Brunauer, W., Klein, N., Kneib, T., Lang, S. and Umlauf, N. (2023)
    A Multilevel Analysis of Real Estate Valuation using Distributional and Quantile Regression
    Statistical Modelling, 23, 525-539.
  6. Hüllen, T., Wittfoth, S. and Kneib, T. (2023)
    A Critical Review of the Development of Technology Maturity Research and State-of-the-Art Approaches
    Proceedings PICMET '23 "Managing Technology, Engineering and Manufacturing for a Sustainable World"
  7. Seufert, J. D., Python, A., Weisser, C., Cisneros, E., Kis-Katos, K. and Kneib, T. (2022)
    Mapping ex-ante spatial risks of COVID-19 in Indonesia using a Bayesian geostatistical model on airport network data
    Journal of the Royal Statistical Society, Series A (Statistics in Society), 185, 2121-2155
  8. Weisser, C., Lenel, F., Lu, Y., Kis-Katos, K. and Kneib, T. (2021)
    Using solar panels for business purposes: Evidence based on high-frequency power usage data
    Development Engineering, 6, 100074
  9. Seidel, D., Annighöfer, P., Thielman, A., Edward, Q., Thauer, J.-H., Glatthorn, J., Ehbrecht, M., Kneib, T. and Ammer, C. (2021)
    Predicting tree species from 3D laser scanning point clouds using deep learning
    Frontiers in Plant Science, 12 635440
  10. Udy, K. L., Fritsch, M., Meyer, K. M., Grass, I., Hanß, S., Hartig, F., Kneib, T., Kreft, H., Kukunda, C., Pe’er, G., Reininghaus, H., Tietjen, B., Tscharntke, T., van Waveren, C.-S. and Wiegand, K. (2020)
    Environmental heterogeneity predicts global species richness patterns better than area
    Global Ecology and Biogeography, 30, 842-851
  11. Seiler, J., Kneib, T., Lang, S. and Harttgen, K. (2021)
    Modelling Children’s Anthropometric Status using Bayesian Distributional Regression merging Socio-economic and Remote Sensed Data from South Asia and Sub-Saharan Africa
    Economics and Human Biology, 40, 100950
  12. Espasandín-Domínguez, J., Cadarso-Suárez, C., Kneib, T., Marra, G., Klein, N., Radice, R., Lado-Baleato, O., González Quintela, A., Gude, F. (2019)
    Assessing the relationship between markers of glycemic control through flexible copula regression models
    Statistics in Medicine, 38, 5161-5181
  13. Darras, K. F. A., Corre. M. D., Formaglio, G., Tjoa, A., Potapov, A., Brambach, F., Sibhatu, K. T., Grass, I., Tscharntke, T., Angulo Rubiano, A., Buchori, D., Drescher, J., Fardiansah, R., Hölscher, D., Irawan,, B., Kneib, T., Krashevska, V., Krause, A., Kreft, H., Li, K., Maraun, M., Polle, A., Ryadin, A. R., Rembold, K., Scheu, S., Tarigan, S., Valdés-Uribe, A., Yadi, S. and Veldkamp, E. (2019)
    Reducing fertilizer and avoiding herbicides in oil palm plantations - ecological and economic valuations
    Frontiers in Forests and Global Change, https://doi.org/10.3389/ffgc.2019.00065
  14. Signer, J., Filla, M., Schoneberg, S., Kneib, T., Bufka, L., Belotti, E. and Heurich, M. (2019)
    Rocks rock: the importance of rock formations as resting sites of the Eurasian lynx (Lynx lynx)
    Wildlife Biology, wlb.00489.
  15. Idzalika, R., Kneib, T. and Martinez Zarzoso, I. (2019)
    The Effect of Income on Democracy Revisited - A Flexible Distributional Approach
    Empirical Economics, 56, 1207-1230.
  16. Ríos-Pena, L., Kneib, T., Cadarso-Suarez, C., Klein, N. and Marey-Pérez, M. (2018)
    Studying the Occurrence and Burnt Area of Wildfires using Zero-One-Inflated Structured Additive Beta Regression
    Environmental Modelling and Software, 110, 107-118.
  17. Silbersdorff, A., Lynch, J., Klasen, S. and Kneib, T. (2018)
    Reconsidering the income‐health relationship using distributional regression
    Health Economics, 27, 1074-1088.
  18. Espasandín Domínguez, J., Benítez Estévez, A. J., Cadarso Suárez, C. , Kneib, T., Barreiro Martínez, T., Casas Méndez, B. and Gude, F. (2018)
    Geographical differences in blood potassium detected using a structured additive distributional regression model
    Spatial Statistics, 24, 1-13
  19. Vonrüti, M., Spasojevic, A., Nölke, N., Kneib, T. and Kleinn, C. (2017)
    Comparing Canopy Leaf Temperature of Three Central European Tree Species Based on Simultaneous Confidence Bands for Penalized Splines
    Environmental and Ecological Statistics, 24, 385-398
  20. Duarte, E., de Sousa, B., Cadarso Suárez, C., Klein, N., Kneib, T. and Rodrigues, V. (2017)
    Studying the relationship between a woman's reproductive life span and age at menarche using a Bayesian multivariate structured additive distributional regression model
    Biometrical Journal, 59, 1232-1246
  21. Winter, A., Kneib, T., Wasylow, C., Reinhardt, L., Henke, R.-P., Engels, S., Gerullis, H. and Wawroschek, F. (2017)
    Updated nomogram incorporating percentage of positive cores to predict probability of lymph node invasion in prostate cancer patients undergoing sentinel lymph node dissection
    Journal of Cancer, 8, 2692-2698.
  22. Ríos-Pena, L., Marey-Pérez, M., Cadarso-Suárez, C. and Kneib, T. (2017)
    Predicting the Occurrence of Wildfires with Binary Structured Additive Regression Models
    Journal of Environmental Management, 187, 154-165.
  23. Mamouridis, V., Klein, N., Kneib, T., Cadarso Suarez, C. and Maynou, F. (2017)
    Structured Additive Distributional Regression for Analyzing Landings per Unit Effort Indices in Fisheries Research
    Mathematical Biosciences, 283, 145-154.
  24. März, A., Klein, N., Kneib, T. and Mußhoff, O. (2016)
    Analysing farmland rental rates using Bayesian geoadditive quantile regression
    European Review of Agricultural Economics, 43, 663-698.
  25. Tahden, M., Manitz, J., Baumgardt, K., Fell, G., Kneib, T., and Hegasy, G. (2016)
    Epidemiological and Ecological Characterization of the EHEC O104:H4 Outbreak in Hamburg, Germany, 2011
    PLoS ONE,11(10) e0164508.
  26. Álvaro-Meca, A., Jiménez-Sousa, M. A., Boyer, A., Medrano, J., Reulen, R., Kneib, T. and Resino, S (2016)
    Impact of chronic hepatitis C on mortality in cirrhotic patients admitted to intensivecare unit
    BMC Infectious Diseases, 16:122
  27. Winter, A., Kneib, T., Rohde, M. , Henke, R.-P. and Wawroschek, F. (2015)
    First nomogram predicting the probability of lymph node involvement in prostate cancer patients undergoing radioisotope guided sentinel lymph node dissection
    Urologica Internationalis, 15, 422-428
  28. Ríos Pena, L., Cadarso Suárez, C., Kneib, T. and Marey Pérez, M. (2015)
    Applying Binary Structured Additive Regression (STAR) for Predicting Wildfire in Galicia, Spain
    Procedia Environmental Sciences, 27, 123-126
  29. Winter, A.,Kneib, T., Henke, R.-P., and Wawroschek, F. (2014)
    Sentinel lymph node dissection in more than 1,200 cases with prostate cancer: Rate and prediction of lymph node involvement depending on preoperative tumor characteristics
    International Journal of Urology, 21, 58-63
  30. Álvaro-Meca, A., Kneib, T., Gil-Prieto, R. and de Miguel, A. G. (2013)
    Epidemiology Of Suicide in Spain, 1981-2008: A Spatiotemporal Analysis
    Public Health, 127, 380-385
  31. Flores, C., Rodriguez-Girondo, M., Cadarso-Suarez, C., Kneib, T., Gomez, G. and Casanova, L. (2012)
    Flexible Geoadditive Survival analysis of Non-Hodgkin Lymphoma in Peru
    SORT, 36, 221-230.
  32. Mehr, M., Brandl, R., Kneib, T. and Müller, J. (2012)
    The effect of bark beetle infestation and salvage logging on bat activity in a national park
    Biodiversity and Conservation, 21, 2775?2786.
  33. Rocker, D., Kisand, V., Scholz-Böttcher, B., Kneib, T., Lemke, A., Rüllkötter, J. and Simon, M. (2012)
    Differential decomposition of humic acids by marine and estuarine bacterial communities at varying salinities
    Biogeochemistry, 111, 331-345
  34. Pata, M. P., Kneib, T., Cadarso-Suárez, C., Lustres-Pérez, V. and Fernández-Pulpeiro, E. (2012)
    Categorical Structured Additive Regression for Assessing Habitat Suitability in the Spatial Distribution of Mussel Seed Abundance
    Environmetrics, 23, 75?84
  35. Álvaro-Meca, A., Kneib, T., Hernandez, V. and de Miguel, A. G. (2012)
    Impact of Comorbidities and Surgery on Health Related Transitions in Pancreatic Cancer Admissions: A Multi State Model
    Cancer Epidemiology, 36, 142-146.
  36. Richter-Schmidinger, T., Alexopoulos, P., Horn, M., Maus, S., Reichel, M., Rhein, C., Lewczuk, P., Sidiropoulos, C., Kneib, T., Perneczky, R., Doerfler, A. and Kornhuber, J. (2011)
    Influence of Brain-derived neurotrophic-factor and Apolipoprotein E genetic variants on hippocampal volume and memory performance in healthy young adults
    Journal of Neural Transmission, 118, 249-257
  37. Güthlin, D., Knauer, F., Kneib, T., Küchenhoff, H., Kaczensk, P., Rauer, G., Jonozovic, M. and Mustoni, A. (2011)
    Estimating habitat suitability and potential population size for brown bears in the Eastern Alps
    Biological Conservation, 144, 1733-1741
  38. Hothorn, T., Müller, J., Schröder, B., Kneib, T. and Brandl, R. (2011)
    Decomposing Environmental, Spatial, and Spatiotemporal Components of Species Distributions
    Ecological Monographs, 81, 329-347.
  39. Alexopoulos, P., Ebert, A., Richter-Schmidinger, T., Schöll, E., Natale, B., Aguilar, C., Gourzis, P., Weih, M., Perneczky, R., Diehl-Schmid. J., Kneib, T., Förstl, H., Kurz, A., Danek, A. and Kornhuber, J. (2010)
    Validation of the German Addenbrooke?s Cognitive Examination - Revised for detecting mild cognitive impairment, mild dementia in Alzheimer?s disease and frontotemporal lobar degeneration
    Dementia and Geriatric Cognitive Disorders, 29, 448-456.
  40. Bässler, C., Müller, J., Hothorn, T., Kneib, T., Badeck, F. and Dziock, F. (2010)
    Estimation of the extinction risk for high-montane species as a consequence of global warming and assessment of their suitability as cross-taxon indicators
    Ecological Indicators, 10, 341-352.
  41. Alexopoulos, P., Lehrl, S., Richter-Schmiedinger, T., Kreusslein, A., Hauenstein, T., Bayerl, F., Jung, P., Kneib, T., Kurz, A., Kornhuber, J. and Bleich, S. (2010)
    Short-term influence of elevation of plasma homocysteine levels on cognitive function in young healthy adults
    The Journal of Nutrition, Health and Aging, 14, 283-287
  42. Kalus, S., Kneib, T., Steiger, A., Holsboer, F. and Yassouridis, A. (2009)
    A new strategy to analyze possible association structures between dynamic nocturnal hormone activities and sleep alterations in humans
    American Journal of Physiology - Regulatory, Integrative and Comparative Physiology, 296, R1216 - R1227.
  43. Beyersmann, J., Kneib, T., Schumacher, M. and Gastmeier, P. (2009)
    Nosocomial infection, length of stay and time-dependent bias
    Infection Control & Hospital Epidemiology, 30, 273-276.
  44. Strasak, A. M., Lang, S., Kneib, T., Brant, L. J., Klenk, J., Hilbe, W., Oberaigner, W., Ruttmann, E., Kaltenbach, L., Concin, H., Diem, G., Pfeiffer, K. P., Ulmer, H. and the VHM & PP Study Group (2009)
    Use of Penalized Splines in Extended Cox-type Additive Hazard Regression to Flexibly Estimate the Effect of Time-varying Serum Uric Acid on Risk of Cancer Incidence: A Prospective, Population-based Study in 78850 Men
    Annals of Epidemiology, 19, 15-24.
  45. Alexopoulos, P., Günther, F., Popp, J., Jessen, F., Peters, O., Wolf, S., Kneib, T., Kurz, A., Richter-Schmidinger, T., Lewczuk, P., Bleich, S., Wiltfang, J. and Kornhuber, J. (2009)
    Plasma homocysteine and Cerebrospinal fluid (CSF) neurodegeneration biomarkers in Mild Cognitive Impairment (MCI) and dementia
    Journal of the American Geriatrics Society, 57, 737-739.
  46. Moubarak, P., Zilker, S., Wolf, H., Hofner, B., Kneib, T., Küchenhoff, H., Jauch, K.-W. and Hartl. W. H. (2008)
    Activity-guided antithrombin III therapy in severe surgical sepsis: Eficacy and safety according to a retrospective data analysis.
    Shock, 30, 634-641.
  47. Weidinger, S., Baurecht, H., Wagenpfeil, S., Henderson, J., Novak, N., Sandilands, A., Chen, H., Rodriguez, E., O'Regan, G. M., Watson, R., Liao, H., Zhao, Y., Barker, J. N. W. N. , Allen, M., Reynolds, N., Meggit, S., Northstone, K., Smith, G. D., Strobl, C., Stahl, C., Kneib, T., Klopp, N. Bieber, T., Behrendt, H., Palmer, C. N. A., Wichmann, H.-E., Ring, J., Illig, T., McLean, W. H. I., Irvine, A.D. (2008)
    Analysis of the individual and aggregate genetic contributions of previously identified SPINK5 , KLK7 and FLG polymorphisms to eczema risk.
    The Journal of Allergy and Clinical Immunology, 122, 560-568.
  48. Müller, J., Bußler, H. and Kneib, T. (2008)
    Saproxylic beetle assemblages related to silvicultural management intensity and stand structures in a beech forest in Southern Germany
    Journal of Insect Conservation, 12, 107-124.