Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My...

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Page 1: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 2: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 3: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 4: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 5: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 6: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 7: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 8: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 9: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 10: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 11: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 12: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 13: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 14: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 15: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 16: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 17: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 18: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 19: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 20: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite
Page 21: Modeling Preference and Structural Heterogeneity in ...wak2.web.rice.edu › bio › My Reprints...sponse to the marketing mix, and choice processes. This choice model is a finite

Rex Y. Du & Wagner A. Kamakura Where Did All That ...wak2.web.rice.edu/bio/My Reprints/Where did all that...tion (e.g., Deaton 1992; Gourinchas and Parker 2002); here, all the consumption

Rex Y. Du & Wagner A. Kamakura Where Did All That ...wak2.web.rice.edu/bio/My Reprints/Where did all that...tion (e.g., Deaton 1992; Gourinchas and Parker 2002); here, all the consumption

Incorporating Choice Dynamics in Models of Consumer …wak2.web.rice.edu/bio/My Reprints/IncorporatingChoiceDynamicsinModelsofConsumer...INCORPORATING CHOICE DYNAMICS IN MODELS OF

Incorporating Choice Dynamics in Models of Consumer …wak2.web.rice.edu/bio/My Reprints/IncorporatingChoiceDynamicsinModelsofConsumer...INCORPORATING CHOICE DYNAMICS IN MODELS OF

Chris Jermaine cmj4@cs.rice.edu Rice U.cmj4.web.rice.edu/BigData2015.pdf3.Overview of some “data mining” algs for “big data” — Then you will implement a simple algorithm

Chris Jermaine [email protected] Rice U.cmj4.web.rice.edu/BigData2015.pdf3.Overview of some “data mining” algs for “big data” — Then you will implement a simple algorithm

Discrete and Continuous Representations of …wak2.web.rice.edu/bio/My Reprints... · Discrete and Continuous Representations of Unobserved Heterogeneity in Choice Modeling MICHEL

Discrete and Continuous Representations of …wak2.web.rice.edu/bio/My Reprints... · Discrete and Continuous Representations of Unobserved Heterogeneity in Choice Modeling MICHEL

IDENTIFYING INNOVATORS FOR THE CROSS-SELLING OF NEW …wak2.web.rice.edu/bio/My Reprints/IdentifyingInnovators(May 18, 2004).pdf · IDENTIFYING INNOVATORS FOR THE CROSS-SELLING OF

IDENTIFYING INNOVATORS FOR THE CROSS-SELLING OF NEW …wak2.web.rice.edu/bio/My Reprints/IdentifyingInnovators(May 18, 2004).pdf · IDENTIFYING INNOVATORS FOR THE CROSS-SELLING OF

EXCEPTIONS - cmj4.web.rice.educmj4.web.rice.edu/215Fa2012/Lecture11.pdf · • In Java, it’s one of two things... • A “checked exception” — Is a message that is passed from

EXCEPTIONS - cmj4.web.rice.educmj4.web.rice.edu/215Fa2012/Lecture11.pdf · • In Java, it’s one of two things... • A “checked exception” — Is a message that is passed from

Connecting Bayesian and Denoising-Based Approximate …cam6.web.rice.edu/talks/Asilomar_v4.pdfD-AMP Benefits D-IT •Updates proportional to residual (P-controller). •5dB improvement

Connecting Bayesian and Denoising-Based Approximate …cam6.web.rice.edu/talks/Asilomar_v4.pdfD-AMP Benefits D-IT •Updates proportional to residual (P-controller). •5dB improvement

Linux DeviceDriversjl98.web.rice.edu/docs/resources/linux-device-driver.pdf · EEPROM device 4. Linux devicemodel •Unifiedmodeltorepresentdevicesand describe ... user space sysfs

Linux DeviceDriversjl98.web.rice.edu/docs/resources/linux-device-driver.pdf · EEPROM device 4. Linux devicemodel •Unifiedmodeltorepresentdevicesand describe ... user space sysfs

PYTHON, NUMP AND PARK - Rice Universitycmj4.web.rice.edu/DataSciencePython.pdf— Focus on Spark: Big Data platform for distributing Python/Java/Scala comps • Will try to do all

PYTHON, NUMP AND PARK - Rice Universitycmj4.web.rice.edu/DataSciencePython.pdf— Focus on Spark: Big Data platform for distributing Python/Java/Scala comps • Will try to do all

Life-style segmentation with tailored interviewing.wak2.web.rice.edu/bio/My Reprints... · The tailored interviewing algorithm that we propose here is based on a latent-class model,

Life-style segmentation with tailored interviewing.wak2.web.rice.edu/bio/My Reprints... · The tailored interviewing algorithm that we propose here is based on a latent-class model,

Cross-selling through database marketing: a mixed data …wak2.web.rice.edu/bio/My Reprints/Cross-selling throu… ·  · 2003-02-21Cross-selling through database marketing: a mixed

Cross-selling through database marketing: a mixed data …wak2.web.rice.edu/bio/My Reprints/Cross-selling throu… ·  · 2003-02-21Cross-selling through database marketing: a mixed

ABayesianModelforPrelaunchSales ForecastingofRecordedMusicwak2.web.rice.edu/bio/My Reprints... · 2003-12-30 · forecasting problem, in which we wish to incorpo-rate various data

ABayesianModelforPrelaunchSales ForecastingofRecordedMusicwak2.web.rice.edu/bio/My Reprints... · 2003-12-30 · forecasting problem, in which we wish to incorpo-rate various data

What makes someone a political methodologist?jee3.web.rice.edu/what-is-a-methodologist.pdf · What makes someone a political methodologist? ... and they develop new strategies, tools,

What makes someone a political methodologist?jee3.web.rice.edu/what-is-a-methodologist.pdf · What makes someone a political methodologist? ... and they develop new strategies, tools,

AssessingtheMarketValueofRealEstate ...wak2.web.rice.edu/bio/My Reprints/Assessing the market value of...AssessingtheMarketValueofRealEstate PropertywithaGeographicallyWeighted StochasticFrontierModel

AssessingtheMarketValueofRealEstate ...wak2.web.rice.edu/bio/My Reprints/Assessing the market value of...AssessingtheMarketValueofRealEstate PropertywithaGeographicallyWeighted StochasticFrontierModel

Challenges and opportunities in high-dimensional choice data …wak2.web.rice.edu/bio/My Reprints... · 2012-08-14 · Challenges and opportunities in high-dimensional choice data

Challenges and opportunities in high-dimensional choice data …wak2.web.rice.edu/bio/My Reprints... · 2012-08-14 · Challenges and opportunities in high-dimensional choice data

The housecleaning choice. reality choice hope choice commitment choice.

The housecleaning choice. reality choice hope choice commitment choice.

Lytro Marketing Plan 4 - Rice Universityhc25.web.rice.edu/files/projects/LytroMarketingPlan.pdf · lytro camera marketing plan 1 table of content 1 1 introduction 4 the lytro light

Lytro Marketing Plan 4 - Rice Universityhc25.web.rice.edu/files/projects/LytroMarketingPlan.pdf · lytro camera marketing plan 1 table of content 1 1 introduction 4 the lytro light

Quench spectroscopy of a Luttinger liquid: Fractionalized ...mf23.web.rice.edu/POSTER--XXZ_Quench_GothamMetro11.pdf · We consider a quench in the spin ½ XXZ chain, equivalent to

Quench spectroscopy of a Luttinger liquid: Fractionalized ...mf23.web.rice.edu/POSTER--XXZ_Quench_GothamMetro11.pdf · We consider a quench in the spin ½ XXZ chain, equivalent to

IMMUTABILITY, FUNCTIONAL ROGRAMMINGcmj4.web.rice.edu/Lecture20.pdf · — Puts a reference to obj1 into container object obj2 (aliasing!) — method1 calls method method2, passes

IMMUTABILITY, FUNCTIONAL ROGRAMMINGcmj4.web.rice.edu/Lecture20.pdf · — Puts a reference to obj1 into container object obj2 (aliasing!) — method1 calls method method2, passes

Vikas Mittal, Wagner A. Kamakura, & Rahul Govind ...wak2.web.rice.edu/bio/My Reprints...48 / Journal of Marketing, July 2004 Journal of Marketing Vol. 68 (July 2004), 48–62 Vikas

Vikas Mittal, Wagner A. Kamakura, & Rahul Govind ...wak2.web.rice.edu/bio/My Reprints...48 / Journal of Marketing, July 2004 Journal of Marketing Vol. 68 (July 2004), 48–62 Vikas