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Many universities have adopted the San Francisco Declaration on Research Assessment (DORA), which forbids considering journal rankings as a proxy for research quality. …

There may be implications for the infinite dimensional case if one can find a suitable proxy for $L^p$ norms. …

t)$, so the equivalent ParP substitution reps are $[H] = [R][E]$ and $[R][H] = [E]$, where $[R]$ is the set of reciprocal ParPs for multiplicative inversion of power series usually encountered as the proxy …

However, I have an issue with their (and by proxy, Müger's) approach. Namely, they require that the category has finite biproducts (direct sums). …

respect of the original size $|V(T')|$, and serves as a tool for assignation of these pieces to clusters in the reduced graph for later embedding, but for this i need that the tree which will serve as a proxy …

You'll probably have better luck with the phrase "intuitionistic higher-order logic" (IHOL). A good place to start is the book by Lambek and Scott, Introduction to Higher Order Categorical Logic. But …

Hmm, I'm about twelve years late to the party - anyway, since the post has just popped up at the front page, here's a list of suggestions that I try to follow when writing mathematics, mainly because …

One way out of this is to search among all polynomials of the form $q = \sigma_0 + \sum_i \sigma_i f_i$, and try to find a $q$ whose symmetric positive semidefinite Gram matrix is of rank one, a convex proxy …

This gives $Y_N$ with subgaussian proxy $\Sigma_N = \sum_i \sigma_i^2$. Then we can guess positive charge if $Y_N > 1/2$ and negative if $Y_N \le 1/2$. … The subgaussian proxy says the guess is correct with probability $O(e^{-K \Sigma_n})$ for some fixed $K >0$. So far so good. But what if we are instead interested in tail bounds for the guesses. …

Since the (absolute convergence of the) Euler product implies nonvanishing for $\sigma > 1$, it is possible that the Euler product is just a proxy for that nonvanishing. …

The quantity $\tilde{\sigma}^2/k$ will play the role of a "proxy variance" for the random variable $g(Z)$. …

As a proxy cost function, we use therefore $$ \hat{U} = \min_U \| |U A| - |H| \|_F, $$ where $|\cdot|$ is the element-wise absolute values. …

Let $X_1,\ldots,X_p$ be random variables on the same space. Define their dependence rank, denoted $rank(X_1,\ldots,X_p)$ as the largest nonnegative integer $k$ such that there is a subcollection of $k …

In this context, "true" is a proxy for "true in the (class-sized) structure $V$." …

I have an indirect (but simple) proof, which relies on the chi-squared distance $\chi^2(p,q) = \sum_n \frac{(p(n)-q(n))^2}{q(n)}$ as a proxy, along with the fact that $H(p,q)^2 \leq 1\land \chi^2(p,q)$ …