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  1. Understanding the Metropolis-Hastings Algorithm Siddhartha Chib; Edward Greenberg The American Statistician, Vol. 49, No. 4. (Nov., 1995), pp. 327-335.

  2. 28 de oct. de 2013 · Jay Greenberg. Jay Greenberg, Ph.D., editor, Contemporary Psychoanalysis; training and supervising analyst, William Alanson White Institute; faculty and supervising analyst, postdoctoral program in psychotherapy and psychoanalysis, New York University.

  3. 25 de mar. de 2015 · The stance that this thesis takes is surrounding the validity of the theory (Fisher & Greenberg, 1996; Xiao, 2006); Freud has developed a concept that is difficult to prove but at the same time ...

  4. 11 de abr. de 1995 · Prostate tumors in the mice also display elevated levels of nuclear p53 and a decreased heterogeneous pattern of androgen-receptor expression, as observed in advanced human prostate cancer. The establishment of breeding lines of transgenic mice that reproducibly develop prostate cancer provides an animal model system to study the molecular ...

  5. 1 de nov. de 1995 · Understanding the Metropolis-Hastings Algorithm. S. Chib, E. Greenberg. Published 1 November 1995. Mathematics, Computer Science. The American Statistician. Abstract We provide a detailed, introductory exposition of the Metropolis-Hastings algorithm, a powerful Markov chain method to simulate multivariate distributions.

  6. Abstract. Objective: The authors' goal was to study subtyping, demographic variables, suicidality, diagnostic stability, and 2-year rehospitalization outcome for inpatients given the admission diagnosis of adjustment disorder at their institution. Method: They reviewed the charts of 54 adolescent and 102 adult inpatients given the diagnosis of ...

  7. Greenberger, D. and Padesky, C.A. (1995) Mind over mood: Change how you feel by changing the way you think. Guilford Press, New York. has been cited by the following article: TITLE: Depression prevention program for workers of private companies: A randomized controlled trial. AUTHORS: Mariko Kawaharada, Izumi Ueda, Eiji Yoshioka, ...