Log Gaussian Cox Processes (LGCP) are used extensively to model point pattern data. In these models, the log intensity function is modeled semi- parametrically as a linear combination of spatially varying covariates with scalar coefficients plus a Gaussian process that models the random spatial variation. Almost exclusively, the point pattern data are a single realization from the driving point process. In contrast, our motivating data are lesion locations from a cohort of Multiple Sclerosis patients with patient specific covariates measuring disease severity. Patient specific covariates enter the model as a linear combination with spatially varying coefficients. Our goal is to correlate disease severity with lesion location within the brain. Estimation of the LGCP intensity function is typically performed in the Bayesian framework using the Metropolis adjusted Langevin algorithm (MALA) and, more recently, Riemannian manifold Hamiltonian Monte Carlo (RMHMC). Due to the extremely large size of our problem -- 3D data (64x64x64) on 240 subjects -- we show that MALA performs poorly in terms of posterior sampling and that RMHMC is computationally intractable. As a compromise between these two extremes, we show that posterior estimation via Hamiltonian Monte Carlo performs exceptionally well in terms of speed of convergence and Markov chain mixing properties.
The weak efficient market hypothesis can be interpreted as asserting that major market indices should lie near the Markowitz efficient frontier. This is seen in many years, but not in years before large market downturns. Most notably, it was not seen in most of 2007 and 2008 leading up the the crash of 2008. Indeed, all the major indices were found on the Markowitz inefficient frontier right after the crash. More generally, we consider a frontier computed for Markowitz portfolios that hold only long positions, which lies to the right of the classical Markowitz frontier. For many years this so-called long frontier lies close to the Markowitz frontier, but not in years of market volatility. The question will be posed, but not answered, if this separation is a measure of a market exposed to large short positions that could contribute to a systemic downturn.
Motivated by the pluriclosed flow of Streets and Tian, we establish
Evans-Krylov type estimates for parabolic "twisted" Monge-Ampere
equations in both the real and complex setting. In particular, a bound
on the second derivatives on solutions to these equations yields bounds
on Holder norms of the second derivatives. These equations are
parabolic but neither not convex nor concave, so the celebrated proof of
Evans-Krylov does not apply. In the real case, the method exploits a
partial Legendre transform to form second derivative quantities which
are subsolutions. Despite the lack of a bona fide complex Legendre
transform, we show the result holds in the complex case as well, by
formally aping the calculation. This is joint work with Jeff Streets.
Let $\Gamma$ be a graph with a weight $\sigma$. Let $d$ and $\mu$ be the distance and the measure associated with $\sigma$ such that $(\Gamma, d, \mu)$ is a doubling space. Let $p$ be the natural reversible Markov kernel associated with $\sigma$ and $\mu$ and $P$ the associated
operator defined by $Pf(x) = \sum_{y} p(x, y)f(y)$. Denote by $L=I-P$ the discrete Laplacian on $\Gamma$.
In this talk we develop the theory of Hardy spaces associated to the discrete Laplacian $H^p_L$ for $0<p\leq 1$. We then obtain boundedness of certain singular integrals on $\Gamma$ such as square functions, spectral multipliers and Riesz transforms on the Hardy spaces $H^p_L$. This is joint work with The Anh Bui.
Kapouleas and Yang have constructed, by gluing methods, sequences of
minimal embeddings in the round 3-sphere converging to the Clifford
torus counted with multiplicity 2. Each of their surfaces, which
they call doublings of the Clifford torus, resembles a pair of
coaxial tori connected by catenoidal tunnels and has symmetries
exchanging the two tori. I will describe an extension of their work
which yields doublings admitting no such symmetries as well as
examples incorporating an arbitrary (finite) number of tori, that
is Clifford torus triplings, quadruplings, and so on.