Informed Projections

Level of Grammatical Proficiency and Acquisition of Functional Projections: The case of Iranian learners of English language

Unlike Lexical Projections, Functional Projections (Extended Projections) are more of an ‘abstract’ in nature. Therefore, Functional Projections seem to be acquired later than Lexical Projections by the L2 learners. The present study investigates Iranian L2 learners’ acquisition of English Extended Projections taking into account their level of grammatical proficiency. Specifically, the aim is ...

Evaluating Alternate Transit Options in Halifax Using Travel Demand Forecasting Model Informed by a Stated Preference Survey

University of Toronto Department of Economics

This paper considers the problem of testing an expert who makes probabilistic forecasts about the outcomes of a stochastic process. I show that, under general conditions on the tester’s prior, a likelihood test can distinguish informed from uninformed experts with high prior probability. The test rejects informed experts on data-generating processes where the tester quickly learns the true prob...

m-Projections involving Minkowski inverse and range symmetric property in Minkowski space

In this paper we study the impact of Minkowski metric matrix on a projection in the Minkowski Space M along with their basic algebraic and geometric properties.The relation between the m-projections and the Minkowski inverse of a matrix A in the minkowski space M is derived. In the remaining portion commutativity of Minkowski inverse in Minkowski Space M is analyzed in terms of m-projections as...

Can better forecasting abilities be harmful? Evidence from experimental asset markets

The question of how useful information in financial markets is has been discussed for decades and is still unresolved. In this paper we challenge the widely held belief that success and failure in the stock market can largely be attributed to the information underlying the trading decisions. We present a dynamic multi-period experimental financial market with asymmetrically informed traders who...

A model based, anatomy dependent method for ultra-fast creation of primary SPECT projections

  Introduction: Monte Carlo (MC) is the most common method for simulating virtual SPECT projections. It is useful for optimizing procedures, evaluating correction algorithms and more recently image reconstruction as a forward projector in iterative algorithms; however, the main drawback of MC is its long run time. We introduced a model based method considering the eff...