man by whom it was written, conspire to give it a deep and peculiar interest. JSo region of the human body presents, with respect to anatomico-chirurgjcal research, a wider or more important field than those so ably delineated in this work. It is the last production of Allan Burns, and unquestionably his best. As such, we never open it without mingled feelings of sorrow and veneration. Perhaps ...

This paper introduces a no-arbitrage framework to assess how macroeconomic factors help explain the risk-premium agents require to bear the risk of fluctuations in stock market volatility. We develop a model in which return volatility is stochastic and derive no-arbitrage conditions linking volatility to macroeconomic factors. We estimate the model using data related to variance swaps, which ar...

In the new “bayz” version the genotype data is now restricted to be 2-allelic markers (SNPs), while the modeling option have been made more general. This implements (slightly) different set-up and options for the familiar genomic models. The new bayz is also prepared for multi-trait models and has been tested on SNP data with up to 800K SNPs. Efficient MH samplers are implemented to achieve fas...

Let the underlying process Y be a semimartingale taking values in an interval I. Let φ : I → R be a difference of convex functions, and let X := φ(Y ). A typical application takes Y to be a positive price process and φ(y) = log y for y ∈ I = (0,∞). Then [the floating leg of] a forward-starting weighted variance swap or generalized variance swap on φ(Y ) (shortened to “on Y ” if the φ is underst...

Consider a N × n random matrix Yn = (Y n ij ) where the entries are given by Y n ij = σij(n) √ n X ij , the X ij being centered, independent and identically distributed random variables with unit variance and (σij(n); 1 ≤ i ≤ N, 1 ≤ j ≤ n) being an array of numbers we shall refer to as a variance profile. We study in this article the fluctuations of the random variable log det (YnY ∗ n + ρIN ) ...

Fosdick and Raftery (2012) revisited the classical problem of inference for a bivariate normal correlation coefficient ρ when the variances are known. They considered several frequentist and Bayesian estimators, the former including the maximum likelihood estimator (MLE), but did not obtain the standard errors of these estimators or confidence intervals for ρ. Here we present a new variance-sta...

5 Data preprocessing 3 5.1 Intelligently read the BeadStudio output file . . . . . . . . . . . . 5 5.2 Quality control of the raw data . . . . . . . . . . . . . . . . . . . 8 5.3 Background correction . . . . . . . . . . . . . . . . . . . . . . . . 18 5.4 Variance stabilizing transform . . . . . . . . . . . . . . . . . . . . 19 5.5 Data normalization . . . . . . . . . . . . . . . . . . . . . . ...

The current research-in-progress manuscript proposes a shift to a new approach to team coordination in IS projects. Previous studies have regarded team coordination through variance analyses. They identified explicit and implicit coordination mechanisms that are significantly related to team coordination, depending on some contingencies (e.g. team and task configuration, context). While such st...

We consider a series of companies in a supply chain, each of which orders from its immediate upstream members. Usually, the retailer’s orders do not coincide with the actual retail sales, as the retailer tries to ”outguess” the coming actual demand from the market. Similarly, the wholesaler’s orders to the producer do not coincide with the actual demand of the retailers. The bullwhip effect ref...

This paper introduces a no-arbitrage framework to assess how macroeconomic factors help explain the risk-premium agents require to bear the risk of fluctuations in stock market volatility. We develop a model in which return volatility and volatility risk-premia are stochastic and derive no-arbitrage conditions linking volatility to macroeconomic factors. We estimate the model using data related...