PATTERN AVOIDANCE IN BINARY TREES ERIC S. ROWLAND Abstract. This paper considers the enumeration of trees avoiding a contiguous pattern. We provide an algorithm for computing the generating function that counts n-leaf bi

Source URL: thales.math.uqam.ca

Disparity, Shortfall, and Twice-Endogenous HARA Utility∗ M. Ryan Haley†, M. Kevin McGee‡and Todd B. Walker§ December 4, 2010 Abstract We derive a mapping between the shortfall-minimizing portfolio selection based

Source URL: pages.iu.edu

• Kullback–Leibler divergence
• Moment-generating function
• Risk aversion
• Expected utility hypothesis
• Hyperbolic absolute risk aversion
• Weight
• Utility
• Statistics
• Abstract algebra

Lower Bounds on the Success Probability for ad hoc Networks with local FDMA scheduling Ralph Tanbourgi, Jens P. Elsner, Holger J¨akel and Friedrich K. Jondral Karlsruhe Institute of Technology, Germany {ralph.tanbourgi,

Source URL: www.cel.kit.edu

• Spectral theory of ordinary differential equations
• Spectral theory
• Moment-generating function
• Spectrum

-1- ENUMERATION OF STRINGS A. M. Odlyzko AT&T Bell Laboratories Murray Hill, New Jersey 07974

Source URL: www.dtc.umn.edu

• Generating function
• Combinatorics
• Random permutation statistics
• Schneider–Lang theorem
• Mathematics
• Mathematical analysis
• Abstract algebra

DELFT UNIVERSITY OF TECHNOLOGY REPORTSaddlepoint Approximations for Expectations X. Huang, and C.W. Oosterlee

Source URL: www.ewi.tudelft.nl

• Mathematical series
• Normal distribution
• Cumulant
• Moment-generating function
• Edgeworth series
• Logarithm
• Symbol
• Itō diffusion
• Mathematical analysis
• Mathematics
• Statistics

19:TOPIC. Cumulants. Just as the generating function M of a random variable X “generates” its moments, the logarithm of M generates a sequence of numbers called the cumulants of X. Cumulants are of int

Source URL: galton.uchicago.edu

10:TOPIC. Moment generating functions. The nth moment of a random variable X is E(X n ) (if this quantity exists); the moment generating function (MGF) of X is the function defined by

Source URL: galton.uchicago.edu

EFFICIENT MONTE CARLO FOR NEURAL NETWORKS WITH LANGEVIN SAMPLERS L.A. BREYER, M. PICCIONI, AND S. SCARLATTI Abstract. We consider the task of simulating efficiently from the posterior distribution over weight space of a

Source URL: www.lbreyer.com

• Central limit theorem
• Estimation theory
• Exponentiation
• Moment-generating function
• Integral transforms
• Normal distribution
• Fourier transform
• Mathematical analysis
• Mathematics
• Statistics

Division of Engineering Science University of Toronto STA286 H1 S: Probability & Statistics Course Co-Coordinators and Instructors:

Source URL: probability.ca

• Probability theory
• Statistical theory
• Probability distribution
• Normal distribution
• Statistical parameter
• Moment-generating function
• Central limit theorem
• Log-normal distribution
• Characteristic function
• Statistics
• Mathematical analysis
• Probability and statistics

Generating Precise and Concise Procedure Summaries Greta Yorsh ∗ Eran Yahav Satish Chandra

Source URL: www.cs.technion.ac.il

• Mathematical logic
• Predicate transformer semantics
• Logic
• Transformer
• Function
• Interpretation
• Data-flow analysis
• The Transformers
• Mathematics
• Formal methods
• Program logic