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Results for Bayesian statistics:

Gordon Kaufman

Gordon Kaufman

Morris A. Adelman Professor of Management, Emeritus

Department: Professor of Statistics

Contact: (617) 253-2651, gkaufman@mit.edu

Expertise: Applied probability; Bayesian statistics; Probability; Stochastic modeling

Andrew Lo

Andrew Lo

Charles E. and Susan T. Harris Professor

Department: Professor of Finance

Contact: (617) 253-0920, andrew.lo@mit.edu

Expertise: Analyst forecasts; Angel investing; Applied economics; Applied mathematics; Applied probability; Arbitrage pricing theory; Artificial intelligence; Asset management; Asset pricing; Banking; Banking management; Banking operations and policy; Banking regulation; Bankruptcy; Bayesian networks; Bayesian statistics; Bayesian statistics; Big data; Biopharmaceutical; Biotechnology; Bond markets; Bond negotiations; Bond pricing; Business intelligence; Business plans; Cancer; Capital budgeting; Capital controls; Capital market; CEO compensation; Clinical trials; Consumer behavior; Contagion; Corporate diversification; Corporate finance; Corporate governance; Corporate strategy and policy; Currency; Cyber security; Data acquisition; Data analysis; Data mining; Decision making; Deflation; Derivatives; Disaster recovery; Distance learning; Dividend policy; Dot-com; Drug models; eCommerce; Econometrics; Economic crisis; Economics; Education; Emerging businesses; Entrepreneurial finance; Entrepreneurial management; Equities; Euro; Exchange rates; Executive compensation; Federal Reserve; Financial econometrics; Financial engineering; Financial information technology; Financial information technology; Financial markets; Financial reporting; Financial services; Financial statement analysis; Foreign investment; Futures; Government; Healthcare; Healthcare industry; Hedge funds; Hurdle rates; Inflation; Intellectual property; Intellectual property law; Interest rates; International finance; Internet privacy issues; Intertemporal choice; Investment analysis; Investment banking; Investment risk; Investment strategies; Knowledge sharing; Macroeconomics; Mathematical programming; MBA; Medical decision making; Medicine; Mergers and acquisitions; Mobile banking; MOOCs; Mortgage funds; Mutual funds; Neural networks; New venture development; New ventures; Non-linear dynamics; Online banking; Online education; Online feedback mechanisms; Operations research; Optimal control; Optimization; Options; Patents; Pensions; Personal finance; Pharmaceuticals; Portfolio choice; Portfolio design and management; Private equity; Research and development; Retirement planning; Revenue management; Risk capital; Risk management; Sampling; Securities and Exchange Commission (SEC); Security prices; Simulation; Software agents; Startups / Start-ups; Statistics; Stochastic modeling; Stock exchange; Stock exchange consolidation; Stock market; Stock options; Stock trading; Subprime lending; Trading decisions; Treasuries; Venture capital; Wall Street; Web-based marketing

Robert Nachtrieb

Robert Nachtrieb

Department: Senior Lecturer, System Dynamics

Contact: , nacht@MIT.EDU

Expertise: Bayesian statistics; Business plans; Business process modeling; Business process modeling; China; Competitive strategy; Consulting; Corporate strategy and policy; Cross-cultural awareness; Cultural differences; Data analysis; Data analytics; Data mining; Decision analysis; Decision making; Decision support; Energy Efficiency; Enterprise architecture; Executive education; Experimental design; Global standards; India; Management education; Medical decision making; Medical devices; Negotiation; Negotiation and conflict resolution; New venture development; New ventures; Non-linear dynamics; Non-market strategy; Nonlinear dynamics; Nuclear power; Product innovation; Strategic management; System dynamics; System dynamics; United States

Drazen Prelec

Drazen Prelec

Digital Equipment Corp. Leaders for Global Operations Professor of Management

Department: Professor of Management Science and Economics

Contact: (617) 253-2833, dprelec@mit.edu

Expertise: Bayesian networks; Consumer behavior; Consumer psychology; Market research; Probability; Virtual customer

Cynthia Rudin

Cynthia Rudin

Department: Associate Professor of Operations Research

Contact: (617) 715-4215, rudin@mit.edu

Expertise: Algorithms; Algorithms; Algorithms; Analytics; Applied math; Artificial intelligence; Artificial intelligence; Bayesian statistics; Big data; Business intelligence; Business intelligence; Data analysis; Data analytics; Data mining; Data mining; Data mining; Data mining; Decision making; Decision support; Electricity; Machine learning; Medical decision making; Predictive analytics; Predictive analytics; Probability; Sports analytics; Statistics; Statistics

Glen Urban

Glen Urban

David Austin Professor in Management, Emeritus

Department: Professor of Marketing, Emeritus

Contact: (617) 253-6615, glurban@mit.edu

Expertise: Advertising; Automotive industry; B-school; Bayesian statistics; Brand management; Branding; Consumer marketing; Customer relationships; Customer satisfaction; Customer service; Database marketing; Dot-com; eCommerce; Electronic publishing; International marketing; Internet; Internet privacy issues; Internet strategy; Knowledge management; Lead users; Management of technology; Market research; Marketing; New ventures; Online feedback mechanisms; Online media; Onlne shopping; Positioning; Product loyalty; Statistics; Telecommunications; Trust-based marketing; Web-based marketing; World Wide Web

Roy Welsch

Roy Welsch

Eastman Kodak Leaders for Global Operations Professor of Management

Department: Professor of Statistics and Engineering Systems

Contact: (617) 253-6601, rwelsch@mit.edu

Expertise: Bayesian statistics; Corporate strategy and policy; Data acquisition; Data mining; Econometrics; Experimental design; Financial econometrics; Financial engineering; Financial markets; Information technology; Managerial economics; Process control; Statistics

Tauhid Zaman

Tauhid Zaman

KDD Career Development Professor in Communications and Technology

Department: Assistant Professor of Operations Management

Contact: (617) 253-7353, zlisto@mit.edu

Expertise: Algorithms; Algorithms; Analytics; Applied probability; Bayesian statistics; Big data; Data acquisition; Data analysis; Data analytics; Data mining; Data mining; Data mining; Facebook; Instagram; Operations management; Operations research; Predictive analytics; Probability; Probability; Probability, applied; Social media; Social networks; Social networks; Social networks; Sociotechnical system; Sociotechnical system; Statistics; Statistics; Twitter

Using big data to manage medical expectations — Cynthia Rudin

From The Health Care Blog  For all the advances in both medicine and technology, patients still face a bewildering array of advice and information when trying to weigh the possible consequences of certain medical treatments. But a hands-on, data-driven tool I have developed with some colleagues can now help patients obtain personalized predictions for their recovery from surgery. This tool can help patients better manage their expectations about their speed of recovery and long-term effects of the procedure. People need to be able to fully understand the possible effects of a medical procedure in a realistic and clear way. Seeking to develop a model for recovery curves, we developed a Bayesian modeling approach to recovery curve prediction in order to forecast sexual function levels after prostatectomy, based on the experiences of 300 UCLA clinic patients both before radical prostatectomy surgery and during the four years immediately following surgery. The resulting … Read More »The post Using big data to manage medical expectations — Cynthia Rudin appeared first on MIT Sloan Experts.

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