Statistical analysis of RNA electropherograms to understand the degree and nature of RNA disruption induced by anti-cancer drugs

Rna Diagnostics, Inc. is developing a diagnostic test, named RDA (RNA Disruption Assay) which measures an individual patient’s tumor response to chemotherapy and accurately predicts whether the drug regimen will lead to elimination of the disease. In order to commercialize the intellectual property related to RDA, Rna Diagnostics, Inc. requires mathematical and statistical expertise to […]

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Optimizing Fibre Flow in the Forest Products Industry

FPInnovations has developed FPInterface, a software platform in which forest operations are simulated in order to estimate fibre supply costs, including harvesting and transportation. It currently has 7 sub-modules including MaxTour and FPAlloc. The goal of this project is to develop and validate optimization techniques in order to implement new sub-modules to FPInterface that will […]

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Multiple shock dependencies with applications to insurance risks

Traditional insurance models build on the assumption of independence of risks. One of the main causes of the recent financial crisis, this assumption has facilitated the quantification of risks for decades, but it has often lead to risks’ under-estimation and as a result under-pricing. Importantly, one of the prime pillars of the novel concept of […]

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Stochastic Strategies for Addressable Advertising

Recently, the nature of media advertising has changed dramatically due to the introduction of highly efficient addressable advertising models. The latter have the ability to deliver different ads during one advertising spot to the viewers of same network, depending on household demographic profiles. The new models provide industry with the opportunity to maximize advertising revenue […]

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Stochastic Strategies for Addressable Advertising – Year Two

Recently, the nature of media advertising has changed dramatically due to the introduction of highly efficient addressable advertising models. The latter have the ability to deliver different ads during one advertising spot to the viewers of same network, depending on household demographic profiles. The new models provide industry with the opportunity to maximize advertising revenue […]

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Housing reconstruction cost model

This project is designed to analyze a list of insurance policies and past claims, and to determine which variables have had a significant influence on the cost of house reconstruction in the case of insurance claims. It is also planned to use a hedonic pricing model to include, where appropriate, the influence of location variables, […]

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Développement d’approches statistiques pour l’analyse de portefeuilles d’investissements alternatifs

L’entreprise oeuvre dans un marché de gestionnaires d’investissements spécialisés. Le principal rôle de l’organisation est de suivre l’évolution des portefeuilles de ces gestionnaires et de rapporter lesinformations aux investisseurs soit les clients. Par la nature diversifiée et non traditionnelle des investissements, il n’existe pas beaucoup de statistiques reconnues comme étant fiables pour les décrire. Ainsi, […]

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Utilization of Electronic Health Records for Drug Safety Signal Refinement

Electronic health records (EHRs) are repositories of patient health information that contain data on drug prescription and possible adverse drug reactions. Risk Sciences International (RSI) has an interest in development and application of advanced statistical techniques to address questions of drug safety through the analysis of a large hospital-based EHR dataset. We propose to create […]

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Mathematics Mapping project

To support the development of a developers’ toolkit for educational digital applications that use mathematics content, Erudite Science is creating a library of mathematics content and functions. Because mathematics is such a vast field, typical application functions such as search, manipulation, and inference, frequently return irrelevant results. The search process can be facilitated through the […]

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Dimensionality, performance, and stress testing of multifactor equity models

A global multi-factor equity model had been previously developed. It employs a group of sector indices for different regions using Dow Jones, MSCI, and indices of local stock exchanges. PCA is used to produce independent factor variables, and then specific equities are regressed against the PCA factors. By transforming factors back into real world variables […]

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Modelling default probabilities in a credit risk portfolio

Although latent variable models are a well-known tool for evaluating a portfolio credit risk, concerns are raised regarding tractability of a subsequent analysis/simulation. The project attempts to address such concerns by incorporating a special class of Bernoulli mixture models. Then, efforts will be made to compare efficiency of these models with the commonly used latent […]

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