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HLXiON δ Ω Intent Σ Logic Ψ Synth Π Reason Γ Memory Processing: stat.CO
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The search results for "stat.CO" highlight a variety of topics within statistical and computational fields. The analysis of genetic switches using Forward Flux Sampling explores the dynamics and stability of genetic toggle models, while the study of E. coli's lac operon examines bistability through a mathematical model. Additionally, the application of Deep Q-Learning to optimize trade execution and the exploration of the Tsallis $q$-Gaussian distribution in measurement and metrology demonstrate the diversity of statistical approaches in solving complex biological and computational problems.
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arxiv.org
Reaction coordinates for the flipping of genetic switches

We present a detailed analysis, based on the Forward Flux Sampling (FFS) simulation method, of the switching dynamics and stability of two models of genetic toggle switches, consisting of two mutually-repressing genes encoding transcription factors (TFs); in one model (the exclusive switch), they mu…

q-bio.MN q-bio.QM
arxiv.org
The Stubborn Roots of Metabolic Cycles

Efforts to catalogue the structure of metabolic networks have generated highly detailed, genome-scale atlases of biochemical reactions in the cell. Unfortunately, these atlases fall short of capturing the kinetic details of metabolic reactions, instead offering only \textit{topological} information …

q-bio.MN nlin.AO q-bio.QM
arxiv.org
Determinants of bistability in induction of the Escherichia coli lac operon

We have developed a mathematical model of regulation of expression of the Escherichia coli lac operon, and have investigated bistability in its steady-state induction behavior in the absence of external glucose. Numerical analysis of equations describing regulation by artificial inducers revealed tw…

q-bio.CB q-bio.MN
arxiv.org
Double Deep Q-Learning for Optimal Execution

Optimal trade execution is an important problem faced by essentially all traders. Much research into optimal execution uses stringent model assumptions and applies continuous time stochastic control to solve them. Here, we instead take a model free approach and develop a variation of Deep Q-Learning…

q-fin.TR cs.LG q-fin.CP stat.ML
arxiv.org
Characteristic Function of the Tsallis $q$-Gaussian and Its Applications in Measurement and Metrology

The Tsallis $q$-Gaussian distribution is a powerful generalization of the standard Gaussian distribution and is commonly used in various fields, including non-extensive statistical mechanics, financial markets and image processing. It belongs to the $q$-distribution family, which is characterized by…

stat.CO physics.data-an q-fin.CP quant-ph stat.AP
arxiv.org
Unified continuous-time q-learning for mean-field game and mean-field control problems

This paper studies the continuous-time q-learning in mean-field jump-diffusion models when the population distribution is not directly observable. We propose the integrated q-function in decoupled form (decoupled Iq-function) from the representative agent's perspective and establish its martingale c…

math.OC cs.LG q-fin.CP
arxiv.org
A Heterogeneous Out-of-Equilibrium Nonlinear $q$-Voter Model with Zealotry

We study the dynamics of the out-of-equilibrium nonlinear q-voter model with two types of susceptible voters and zealots, introduced in [EPL 113, 48001 (2016)]. In this model, each individual supports one of two parties and is either a susceptible voter of type $q_1$ or $q_2$, or is an inflexible ze…

physics.soc-ph cond-mat.stat-mech cs.SI q-bio.PE
arxiv.org
On the minimum value of the Colless index and the bifurcating trees that achieve it

Measures of tree balance play an important role in the analysis of phylogenetic trees. One of the oldest and most popular indices in this regard is the Colless index for rooted bifurcating trees, introduced by Colless (1982). While many of its statistical properties under different probabilistic mod…

q-bio.PE cs.DM math.CO
arxiv.org
Option Pricing with a Compound CARMA(p,q)-Hawkes

A self-exciting point process with a continuous-time autoregressive moving average intensity process, named CARMA(p,q)-Hawkes model, has recently been introduced. The model generalizes the Hawkes process by substituting the Ornstein-Uhlenbeck intensity with a CARMA(p,q) model where the associated st…

q-fin.MF
arxiv.org
Discrete $q$-exponential limit order cancellation time distribution

Modeling financial markets based on empirical data poses challenges in selecting the most appropriate models. Despite the abundance of empirical data available, researchers often face difficulties in identifying the best-fitting model. Long-range memory and self-similarity estimators, commonly used …

physics.soc-ph q-fin.MF q-fin.ST