Mod-01 Lec-40 Hidden Markov Model (Contd. )
Pattern Recognition and Application by Prof. P.K. Biswas,Department of Electronics & Communication Engineering,IIT Kharagpur.For more details on NPTEL ...
nptelhrd
How The Hidden Markov Model (HMM) finds the market regimes
This video explains how HMM finds the regimes in the financial market. This video explains part of the research in the following book: ...
Edward Tsang
10.4 State Space Models | 10 Directed Graphical Models | Pattern Recognition Class 2012
Contents of this recording: state space models Hidden Markov Model (HMM) trellis diagram alpha-beta recursion Kalman filter Syllabus: 1. Introduction 1.1 ...
UniHeidelberg
Tracking By Switching State Space Models
Tracking By Switching State Space Models Junseok Kwon, Ralf Dragon, Luc Van Gool Computer Vision and Image Understanding, 2016 We propose a novel ...
Computer Vision Lab ETH Zurich
Mod-08 Lec-24 State Space Model of Boost Converter
Switched Mode Power Conversion by Prof. L. Umanand & Prof. V. Ramanarayanan,Department of Electrical Engineering,IISc Bangalore.For more details on ...
nptelhrd
Bayesian Dynamic Modeling: Sharing Information Across Time and Space
This talk will highlight some of the benefits and challenges associated with harnessing the temporal structure present in many datasets. The focus is on Bayesian ...
UW Video
Structural default model with regime-switches
Artur Sepp presents a structural default model with regime-switches and illustrates the estimation of joint dynamics of stock prices and CDS spreads.
Artur Sepp
Problem 1 on State Transition Matrix
Problem 1 on State Transition Matrix watch more videos at https://www.tutorialspoint.com/videotutorials/index.htm Lecture By: Mrs. Gowthami Swarna, Tutorials ...
Tutorials Point (India) Ltd.
M7b | State-Space Models (Linear Model Structures) | CIV6540E
This video presents the linear model structures that allow creating a variety of models for analyzing time series data. Presenter: James-A. Goulet ...
BayesWorks
#3 | OpenBDLM Tutorial | How to model regime changes in time series
This video presents how to detect anomalies in time series using regime switching. GitHub: https://github.com/CivML-PolyMtl/OpenBDLM Research group ...
BayesWorks
Scott Linderman | 2019 Allen Showcase Symposium
Scott Linderman, Stanford University - 2019 Next Generation Leader presents on: "Next generation statistical neuroscience" at the 2019 Allen Showcase ...
Allen Institute
Chemical Sciences | D4S8 18/35 Topological photonics - Moti Segev
Celebrating the 70th birthday of the State of Israel The Israel Academy of Sciences and Humanities cordially invites you to a conference on The Grand ...
The Israel Academy of Sciences and Humanities
Predict Stock-Market Behavior using Markov Chains and R
We apply Markov Chains to map and understand stock-market behavior using the R programming language. By using 2 transition matrices instead of one, we ...
Manuel Amunategui
How to boost your resilience during though times – practical tools to look after yourself
The global covid pandemic has created challenges and stress for everyone. Never before has our collective resilience been tested to this degree. Do you find ...
Volvo Group Videos
6. Physiological Time-Series
Prof. Sontag gives a recap of risk stratification and then explains physiological time-series. Two scenarios are examined: monitoring babies in neonatal ICUs ...
MIT OpenCourseWare
Nonlinear Climate Dynamics and Snowball Earth | Week 11 | MIT 18.S191 Fall 2020 | Henri Drake
Course homepage: https://computationalthinking.mit.edu/Fall20/ Lecture notebooks: https://github.com/mitmath/18S191.
The Julia Programming Language
Bayesian linear regression using the bayes prefix: Checking convergence of the MCMC chain
Learn how to check the convergence of the MCMC chain after fitting a Bayesian linear regression model using the bayes prefix in Stata 15. Copyright 2011-2019 ...
StataCorp LLC
Sunehra Koshy talks about the importance of Fulfillment by Amazon (FBA) | Benefits of Amazon FBA
Amazon has a unique program, Fulfillment By Amazon or FBA that helps sellers build and grow their businesses. Through FBA, Amazon gives you access to ...
Sell on Amazon India
Stanford Seminar - Generalized Reversible Computing and the Unconventional Computing Landscape
EE380: Computer Systems Colloquium Seminar Generalized Reversible Computing and the Unconventional Computing Landscape Speaker: Michael P. Frank, ...
stanfordonline
CICC ES2-2 - "Nanoscale CMOS Implications on Analog/Mixed-Signal Design" - Dr. Alvin L.S. Loke
Abstract: CMOS scaling remains economically lucrative with 7-nm mobile SoCs already commercialized in late 2018 and 5-nm products on the horizon. Modest ...
IEEE Solid-State Circuits Society
Nonlinear Dynamics: Attractors, Strange and Otherwise Quiz Solutions
These are videos from the Nonlinear Dynamics course offered on Complexity Explorer (complexity explorer.org) taught by Prof. Liz Bradley. These videos ...
Complexity Explorer
The Evolution of AlphaGo to MuZero
This video covers the developments progression from AlphaGo to AlphaGo Zero to AlphaZero, and the latest algorithm, MuZero. These algorithms from the ...
Henry AI Labs
MIA: Ronen Mukamel, Phasing and imputing repeat variants across the genome; Po-Ru Loh
May 1, 2019 MIA Meeting: https://www.youtube.com/watch?v=Iib6-_5_6j8&list=PLlMMtlgw6qNjROoMNTBQjAcdx53kV50cS&index=94&t=3165s Ronen ...
Broad Institute
Emily Fox: "Interpretable Neural Network Models for Granger Causality Discovery"
New Deep Learning Techniques 2018 "Interpretable Neural Network Models for Granger Causality Discovery" Emily Fox, University of Washington Abstract: ...
Institute for Pure & Applied Mathematics (IPAM)
MIA: Jeff Markowitz, Moment-to-moment action selection in brain; Ralph Peterson, Motion sequencing
Models, Inference and Algorithms Broad Institute of MIT and Harvard March 20, 2019 MIA Meeting: ...
Broad Institute
Tressie McMillan Cottom on the Troubling Rise of For-Profit Colleges in the New Economy
More than two million students are enrolled in for-profit colleges, from the small family-run operations to the behemoths brandished on billboards, subway ads, ...
The Berkman Klein Center for Internet & Society
Integrating Inference with Stochastic Process Algebra Models - Jane Hillston, Edinburgh
ProPPA is a probabilistic programming language for continuous-time dynamical systems, developed as an extension of the stochastic process algebra ...
The Alan Turing Institute
Ambiguity Aversion and Variance Premium
Jianjun Miao, Associate Professor of Economics at Boston University, offers an ambiguity-based interpretation of variance premium,— the difference between ...
The University of Chicago
Complex Time: Cognitive Regime Shift II - When/Why/How the Brain Breaks
Meeting Synopsis: In this second working group on the brain we shall build on some of the foundational discussions raised in the first meeting. These included ...
Santa Fe Institute
Uncertainty Shocks, Asset Supply, and Pricing over the Business Cycle
Cosmin Ilut, Assistant Professor of Economics at Duke University, presents on a DSGE model with endogenous financial asset supply and ambiguity averse ...
The University of Chicago
Automotive Radar – An Overview on State-of-the-Art Technology
Radar systems are a key technology of modern vehicle safety & comfort systems. Without doubt it will only be the symbiosis of Radar, Lidar and camera-based ...
IEEE Microwave Theory and Techniques Society
A Philosophical Tour of de Sitter Spacetime | Gordon Belot
Space-Time Theories Historical and Philosophical Contexts January 5-8, 2015 Morning Session: Quantum Gravity 9:30-13:00 Kip Thorne , Caltech ...
The Van Leer Jerusalem Institute - מכון ון ליר בירושלים
MIT Sloan: MFin's Quantitative Curriculum 2019
Members of the MIT Sloan MFin community discuss the quantitative aspects of the MIT Sloan Master of Finance program, student experiences, and more!
MIT Sloan School of Management Admissions
Neural networks and the brain: from the retina to semantic cognition - Surya Ganguli
Surya Ganguli research spans the fields of neuroscience, machine learning and physics, focusing on understanding and improving how both biological and ...
Stanford
All that likelihood with PyMC3 - Junpeng Lao
PyData Berlin 2018 The likelihood is a central concept in Bayesian computation. In this tutorial, we will learn about what is the likelihood function and how do we ...
PyData
1D - Steady State of a System (Protein Switching)
1D - Steady State of a System (Protein Switching) Proteins are dynamic molecules. They can be modified by other proteins, or undergo conformational changes.
Alex Williams
Quantum computing with Schrödinger cat states - Z. Leghtas - Workshop 2 - CEB T2 2018
Zaki Leghtas (Mines ParisTech) / 07.06.2018 Quantum computing with Schrödinger cat states Superconducting qubits are one of the most promising platforms to ...
Institut Henri Poincaré
Chas Freeman ─ Diplomacy as Strategy
The first of three lectures examining diplomatic doctrine as a guide to action in foreign policy, "Diplomacy as Strategy" will draw on historical and contemporary ...
Watson Institute for International and Public Affairs
What is life-lecture: Jeremy England
What is life-lecture: A new theory for evolution. Speaker: Jeremy England, MIT. 9 September, 2014.
Karolinska Institutet
Detection of non-equilibrium quasiparticles in charge sensitive transmons
Presenter: Cihan Kurter, Research Scientist: Quantum Computation, IBM Research Non-equilibrium quasiparticles are considered possible sources causing ...
IBM Research
Lecture 15: Bayesian Networks 3 - Maximum Likelihood | Stanford CS221: AI (Autumn 2019)
Topics: Bayesian Networks Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University http://onlinehub.stanford.edu/ Associate ...
stanfordonline
Generic and Scalable Framework for Automated Time-series Anomaly Detection
Authors: Nikolay Laptev, Saeed Amizadeh, Ian Flint Abstract: This paper introduces a generic and scalable framework for automated anomaly detection on large ...
Association for Computing Machinery (ACM)
