We first describe the likelihood of the commonly used variance components model, for example as in Amos. 5 Since the total likelihood is a product of likelihood over all the families under study, we ...

System-wide measurements of gene expression by DNA microarray and, more recently, RNA-sequencing strategies have become de facto tools of modern biology and have led to deep understanding of ...

There are several approaches to dealing with heteroscedasticity. If the error variance at different times is known, weighted regression is a good method. If, as is ...

Malaya Rout works as Director of Data Science with Exafluence in Chennai. He is an alumnus of IIM Calcutta. He has worked with TCS, LatentView Analytics and Verizon prior to the role at Exafluence. He ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

We develop analytical methodology for pricing and hedging options on the realized variance under the Heston stochastic variance model (1993) augmented with jumps in asset returns and variance. By ...