Innovative Investment Education

Innovative Investment Education Investing has never been easier, but the retail investment journey is broken. This is even more difficult to answer because investors are overwhelmed with information, don’t trust most online sources, and it feels like it is a solo endeavor. An intuitive platform that supports retail investors through their entire investment journey, from […]

Read More
Stock Investment Model

Investing has never been easier, but the majority of individuals still are reluctant to invest and those that do still face a fundamental problem. “What should I invest in?” It’s because the investment journey for a retail investor is broken and Utradea is proven to solve it. For an average investor, prior to making an […]

Read More
Développement de méthodes d’optimisation pour la planification des maintenances des turbines en coordination avec les opérations dans les systèmes de production hydroélectrique

Le vieillissement des systèmes de production hydroélectrique nécessite la réfection des groupes turboalternateurs dans les centrales. Considérant que l’arrêt de turbines pour des périodes de maintenance impacte directement la production hydroélectrique, il est nécessaire de considérer ces maintenances dans les plans de production. Actuellement, les modèles d’optimisation de la production hydroélectrique et les modèles de […]

Read More
Post-traitement statistique des quantiles extrêmes de prévisions issues de modèles météorologiques d’ensemble

Le projet de recherche s’inscrit dans le contexte précis du besoin d’Hydro-Québec de mieux estimer la probabilité de manifestation de vents de forces dites extrêmes et potentiellement dommageables pour le réseau d’infrastructures électriques. Il aura pour objectif de développer des modèles statistiques permettant de corriger les biais dans les prévisions de vents afin de mieux […]

Read More
Multivariate random effects model for Integrated measurement of green veneer thickness and roughness

Thickness and surface roughness are the two main veneer quality criteria affecting material recovery, plywood glue bond quality, and glue consumption. At present, on-line green veneer thickness and surface roughness are generally not measured, which causes difficulty in assessing overall veneer quality for a better control of log conditioning and veneer peeling process. In this […]

Read More
Blockchain Financial and Risk Modeling with Tensor Decompositions and Deep Learning for Institutional Investors

Cryptocurrencies are a new asset class that are emerging in importance and adoption in global markets. Public blockchains such as Bitcoin and Ethereum offer access to an unprecedented amount of financial and technical data. With the increasing amount of blockchain data, it is important that investors and policy makers can access standardized methods of financial […]

Read More
Designing appropriate credit risk model for big data via cloud computing

Business industries are either experiencing or expected to face the challenge of big data. Big data brings trouble to traditional data mining algorithms. Building a machine learning credit scoring algorithm under the big data scenario, offers ATB financial the framework which improve the efficiency and the running speed compared with traditional data mining algorithms, especially […]

Read More
Application of spatial regression models in general insurance

Desjardins General Insurance proposes different types of P&C (property and casualty) coverage to its clients. Properly rating an insurance premium to cover for P&C losses requires complex modelling that uses variables that are both at the individual and at the spatial level. In general, including a spatial component in the modelling is challenging. At Desjardins, […]

Read More
Operationalizing Bayesian multi-state models and financial institution resources for business firm life cycle modelling

Like most living organisms, the life cycle of a business can be divided into distinct, complex phases. These life stages are determined by various internal and external factors such as financial resource availability, managerial ability, and market conditions. The ability to model firm life stages would help financial institutions (FIs) such as ATB identify and […]

Read More
Modeling animal movement for sustainable livestock management

An ongoing interdisciplinary project conducted in Argentina looks to understand how the population dynamics of sheep, and therefore livestock production, depends on individual behavior, climate, landscape structure and management in order to improve the design of sustainable management strategies aimed at solving real problems of animal production and conservation of natural resources. Data from a […]

Read More
Statistical Perspectives on Drug SafetyScreening using Spontaneous Reporting Dataand Electronic Health Records

Screening spontaneous reporting (SR) or electronic health records (EHR) data sets for adverse drug reactions (ADRs) has become an important component of drug safety. Much methodological work has been historically done on SR data, however, novel approaches are continually being suggested which merit critical review. Thus, we will first investigate some of these approaches as […]

Read More
Advanced modeling of induction heaters for environmental remediation

Soil contamination by petroleum and other heavy hydrocarbons is a major environmental concern. One way to address it is the in situ thermal remediation technology: the contaminated soil is heated up with an array of large heating devices, thus accelerating evaporation of the contaminants and cleaning the soil in a matter of months. The goal […]

Read More