Prerequisite(s): Masters or PhD student in Statistics or consent of instructor. Please visit the Booth portal and search via the course search tool for the most up to date information: STAT 33700. Prerequisite(s): PBHS 32100 or STAT 22000; Introductory Statistics or Consent of Instructor Prerequisite(s): Graduate student in the Physical Sciences Division or consent of instructor. Computational imaging refers to the process of forming images from data where computation plays an integral role. The course will also introduce students to the use of version control with Git and consider the differences and similarities between R and Python. Terms Offered: Winter Gaussian processes are commonly used in statistical models for spatial and spatial-temporal processes and for computer model output. Prerequisite(s): Instructor consent. Data: History and Literature. STAT 31610. STAT 41500. Partial differential equations (PDEs) are used to model applications in a wide variety of fields: fluid dynamics, optics, atomic and plasma physics, elasticity, chemical reactions, climate modeling, stock markets, etc. course: I) Encoding and II) Decoding in single neurons and neural Equivalent Course(s): BUSN 41901. Measure-Theoretic Probability III. With this foundation, we will proceed to discuss a variety of approaches to developing useful classes of Gaussian process models, with a focus on spatial-temporal processes. Masters Seminar: Statistics. Graduate education at the University of Michigan is a shared enterprise. Prerequisite(s): Intermediate Statistics or equivalent such as STAT 224/PBHS 324, PP 31301, BUS 41100, or SOC 30005 With this increased capacity to generate and analyze data, classical statistical methods may no longer ensure the reliability or replicability of scientific discoveries. This course is an introduction to the econometric analysis of high-frequency financial data. 100 Units. Other aspects of clinical trials to be discussed include ethical and regulatory issues in human subjects research, data quality control, meta-analytic overviews and consensus in treatment strategy resulting from clinical trials, and the broader impact of clinical trials on public health. This is a discussion course and student presentations will be required. Terms Offered: Spring We will provide a list of papers covering the above topics and students will be evaluated on in-class presentations. The two central models to be discussed are Liouville quantum gravity which arises from exponentiating a two-dimensional Gaussian free field, as well as uniform infinite planar triangulation/quadrangulation. Prior to the start of the work experience, students secure faculty consent for an independent study project to be completed during the internship quarter. Equivalent Course(s): STAT 25300. Terms Offered: To be determined; may not offered in 2020-2021. Statistical Applications. 100 Units. Mathematical Computation I: Matrix Computation Course. Statistical Theory and Methods Ia. Whereas some supporting statistical theory will be given, emphasis will be on data analysis and interpretation of models for longitudinal data. Applied Linear Stat Methods. Prerequisite(s): Familiarity with PDEs, analysis, and programming. This course will begin with an overview of the theory for Gaussian processes, with a focus on stationary processes and their associated spectral properties and how these relate to problems of spatial interpolation. 300.00 Units. Equivalent Course(s): CAAM 35420, ECEV 35420, MGCB 35420. Note(s): Students with credit for MATH 235 should not enroll in STAT 312. Modern Methods in Applied Statistics. Prerequisite(s): STAT 30200. STAT 36711. The Department of Economics at the University of Chicago has always ranked among the handful of leading departments in the world. 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