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Introduction to M-theory
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11	Introduction to Time Series Analysis. Lecture 14. Last lecture: Maximum likelihood estimation 1. Review: Maximum likelihood estimation 2. Model selection 3. Integrated ARMA models 4. Seasonal ARMA Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2010-10-19 01:08:40 Estimation theory M-estimators Maximum likelihood estimation Statistical theory Autoregressivemoving-average model Akaike information criterion Likelihood function
12	Introduction to Political Theory Professor Nicholas Tampio Fordham University, POSC 5300, Fall 2012 Class: Faber 668, M 5:30-7:20 Office hours: Faber 665, M afternoon Add to Reading List Source URL: faculty.fordham.edu Language: English - Date: 2015-05-19 16:51:49 Epistemologists Conservatism in the United States Deontological ethics Philosophers of science Political philosophy Immanuel Kant Leo Strauss John Rawls Modernity Philosophy Humanities Moral philosophers
13	Overview of Weighted Ensemble Simulation: Path-sampling, Steady States, Equilibrium Daniel M. Zuckerman, University of Pittsburgh 1 Introduction to Weighted Ensemble Simluation: The very basics Add to Reading List Source URL: chong.chem.pitt.edu Language: English - Date: 2013-06-04 13:59:26 Science Physics Statistical mechanics Molecular dynamics Molecular modelling Dynamical system Steady state Non-equilibrium thermodynamics Simulation Chemistry Systems theory Computational chemistry
14	Automorphic Representations, Shimura Varieties, and Motives. Ein M¨ archen* R.P. Langlands 1. Introduction. It had been my intention to survey the problems posed by the study of zetafunctions of Shimura varieties. But I Add to Reading List Source URL: www.sunsite.ubc.ca Language: English - Date: 2001-05-12 20:17:52 Conjectures Langlands program Representation theory of Lie groups Harmonic analysis Cuspidal representation Ramanujan–Petersson conjecture Representation theory Shimura variety Induced representation Abstract algebra Algebra Automorphic forms
15	Title stata.com teffects intro — Introduction to treatment effects for observational data Description Add to Reading List Source URL: www.stata.com Language: English - Date: 2014-12-10 18:57:05 Estimation theory Statistical inference Design of experiments Linear regression Average treatment effect Robust statistics Estimator M-estimator Interaction Statistics Econometrics Regression analysis
16	A Gentle Introduction to Category Theory — the calculational approach — Maarten M. Fokkinga Add to Reading List Source URL: doc.utwente.nl Language: English - Date: 2011-08-28 13:02:53 Category Morphism Adjoint functors Equivalence of categories Limit Sheaf Product Natural transformation Functor Category theory Abstract algebra Mathematics
17	APPLIED PHYSICS LETTERS 102, Wigner quasi-particle attributes—An asymptotic perspective M. Nedjalkov,1 P. Schwaha,1,a) S. Selberherr,1 J. M. Sellier,2 and D. Vasileska3 1 Add to Reading List Source URL: www.iue.tuwien.ac.at Language: English - Date: 2013-04-25 02:25:07 Quantum potential Introduction to quantum mechanics Electron Eugene Wigner Phase space Ludwig Boltzmann Quantum field theory Physics Quantum mechanics Wigner quasi-probability distribution
18	Stochastic Formulation of Newton’s Acceleration P. Schwaha1,2 , M. Nedjalkov1 , S. Selberherr1 , J.M. Sellier3 , I. Dimov3 , and R. Georgieva3(B) 1 Institute for Microelectronics, TU Wien GußhausstraßeE360, Add to Reading List Source URL: www.iue.tuwien.ac.at Language: English - Date: 2014-08-16 05:44:04 Mathematical physics Spintronics Electron Introduction to quantum mechanics Eugene Wigner Quantization Identical particles Wigner quasi-probability distribution Physics Quantum mechanics Quantum field theory
19	Stat/Math 414 Introduction to Probability Theory Autumn Semester 2014 Lecture: MWF 2:30-3:20 PM in 062 Willard Instructor: Professor Dennis Pearl Office: 412 Thomas Office Hours: W 3:30 p.m.; Friday 8:30 a.m. or by appoi Add to Reading List Source URL: stat.psu.edu Language: English - Date: 2014-09-16 13:52:03 Examinations Homework Standards-based education Final examination Conditional probability distribution Midterm exam Grade Law of total expectation Joint probability distribution Education Evaluation Education reform

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