Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Abstract: Recent years have seen a surging interest in developing under-approximations of reachable sets due to their potential applications in control synthesis and verification. In this letter, we ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Is linear TV a thing of the past — or does it still have life left in it? In this video, we explore how streaming services have disrupted broadcast schedules and reshaped viewer expectations. From ...

Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in ...