A5058235861- Earthquake Detection and Analysis
- earthquake and tectonic studies
- Financial Risk and Volatility Modeling
- Insurance and Financial Risk Management
- Complex Systems and Time Series Analysis
- Agricultural risk and resilience
- Real-Time Systems Scheduling
- Obstructive Sleep Apnea Research
- Risk and Safety Analysis
- Seismology and Earthquake Studies
- Software Reliability and Analysis Research
- Optical Imaging and Spectroscopy Techniques
- High-pressure geophysics and materials
- Adversarial Robustness in Machine Learning
- Advanced Software Engineering Methodologies
- Distributed systems and fault tolerance
- Climate Change and Health Impacts
- Urban Green Space and Health
- Traumatic Brain Injury and Neurovascular Disturbances
- Neuroscience of respiration and sleep
- Solar Thermal and Photovoltaic Systems
- Statistics Education and Methodologies
- Monetary Policy and Economic Impact
- Statistical Mechanics and Entropy
- Leadership, Behavior, and Decision-Making Studies
Universitat Autònoma de Barcelona
2016-2023
Barcelona Supercomputing Center
2018-2023
Centre de Recerca Matemàtica
2014-2023
Universitat Politècnica de Catalunya
2018-2023
Institute of Photonic Sciences
2023
Barcelona Graduate School of Mathematics
2019-2020
In recent years, researchers have realized the difficulties of fitting power-law distributions properly. These are higher in Zipfian systems, due to discreteness variables and existence two representations for these i.e., versions depending on random variable fit: rank or size. The implies that a power law one is not other, vice versa. We generate synthetic laws both apply state-of-the-art method each variables. (based maximum likelihood plus goodness-of-fit test) does fit whole distribution...
Abstract Intense geomagnetic storms can cause severe damage to electrical systems and communications. This work proposes a counting process with Weibull inter-occurrence times in order estimate the probability of extreme events. It is found that scale parameter time distribution grows exponentially absolute value intensity threshold defining storm, whereas shape keeps rather constant. The model able forecast occurrence an event for given threshold; particular, on next decade magnitude...
Abstract The distribution of seismic moment is capital interest to evaluate earthquake hazard, in particular regarding the most extreme events. We make use likelihood-ratio tests compare simple Gutenberg-Richter power-law (PL) with two statistical models that incorporate an exponential tail, so-called tapered (Tap) and truncated gamma, when fitted global CMT catalog. Although Tap does not introduce any significant improvement fit respect PL, gamma does. Simulated samples this distribution,...
Freight transportation is becoming an increasingly critical activity for enterprises in a global world. Moreover, the distribution activities have non-negligible impact on environment, as well citizens’ welfare. The classical vehicle routing problem (VRP) aims at designing routes that minimize cost of serving customers using given set capacitated vehicles. Some VRP variants consider traveling times, either objective function (e.g., including goal minimizing total time or balanced routes)...
An important body of quantitative linguistics is constituted by a series statistical laws about language usage. Despite the importance these linguistic laws, some them are poorly formulated, and, more importantly, there no unified framework that encompasses all them. This paper presents new perspective to establish connection between different laws. Characterizing each word type two random variables—length (in number characters) and absolute frequency—we show corresponding bivariate joint...
The heterogenous distribution of both COVID-19 incidence and mortality in Catalonia (Spain) during the firsts moths pandemic suggests that differences baseline risk factors across regions might play a relevant role modulating outcome pandemic. This paper investigates associations between air pollutant concentration levels, screens potential effect type agri-food industry overall land use cover (LULC) at area level. We used main model with demographic, socioeconomic comorbidity covariates...
Hyperventilation (HV) therapy uses vasoconstriction to reduce intracranial pressure (ICP) by reducing cerebral blood volume. However, as HV also lowers flow (CBF), it may provoke misery perfusion (MP), in which the decrease CBF is coupled with increased oxygen extraction fraction (OEF). MP rapidly lead exhaustion of brain energy metabolites, making vulnerable ischemia. difficult detect at bedside, where transcranial hybrid, near-infrared spectroscopies are promising because they...
Power-law type probability density functions spanning several orders of magnitude are found for different avalanche properties. We propose a methodology to overcome empirical constrains that limit the power-law range distributions observables like amplitude, energy, duration or size. By considering catalogs events cover observation windows, maximum likelihood estimation global exponent is computed. This applied amplitude and energy acoustic emission avalanches in failure-under- compression...
An increasing number of critical functionalities integrated in embedded systems rely on deep learning (DL) technology. This article summarizes certain key aspects DL's intrinsic stochastic and training-data-dependent nature that are at odds with current domain-specific functional safety standards. We exemplify how redundancy diversity neural networks can help to reconcile DL technology requirements.
Deep Learning (DL) techniques are at the heart of most future advanced software functions in Critical Autonomous AI-based Systems (CAIS), where they also represent a major competitive factor. Hence, economic success CAIS industries (e.g., automotive, space, railway) depends on their ability to design, implement, qualify, and certify DL-based products under bounded effort/cost. However, there is fundamental gap between Functional Safety (FUSA) requirements nature DL solutions. This stems from...
Obstructive apnea causes periodic changes in cerebral and systemic hemodynamics, which may contribute to the increased risk of cerebrovascular disease patients with obstructive sleep (OSA) syndrome. The improved understanding consequences an apneic event on brain perfusion improve our knowledge these then allow for development preventive strategies. Our aim was characterize typical microvascular, cortical blood flow (CBF) OSA population during event. Sixteen (age 58 ± 8 years, 75% male) a...
Power-law-type distributions are extensively found when studying the behavior of many complex systems. However, due to limitations in data acquisition, empirical datasets often only cover a narrow range observation, making it difficult establish power-law unambiguously. In this work we present statistical procedure merge different datasets, with two aims. First, obtain broader fitting for statistics experiments or observations same system. Second, whether more systems may belong universality...
Abstract In this paper, we introduce the simplest exponential dispersion model containing Pareto and distributions. way, obtain distributions with support (0, ∞) that in a long interval are equivalent to distribution; however, for very high values, decrease like exponential. This is useful solving relevant problems arise practical use of extreme value theory. The results applied two real examples, first these on analysis aggregate loss associated quantitative modelling operational risk....
Abstract Study Objectives We aimed to characterize the cerebral hemodynamic response obstructive sleep apnea/hypopnea events, and evaluate their association polysomnographic parameters. The characterization of hemodynamics in apnea (OSA) may add complementary information further understanding severity syndrome beyond conventional polysomnography. Methods Severe OSA patients were studied during night while monitored by Transcranial, bed-side diffuse correlation spectroscopy (DCS)...
Spain has been one of the first countries worldwide to develop a legal framework that aims fully potential solar thermal systems for DHW in residential building sector. Given lack references and complexity sector, several problems have arisen as application practice showed more difficulties than expected. One detected it’s standardization sizing methodologies among installers engineers; solve this, administration made big effort generate precise simple method all actors This paper describes...
The performance monitoring unit (PMU) in multiprocessor system-on-chips (MPSoCs) is at the heart of latest measurement-based timing analysis techniques critical embedded systems. In particular, hardware event monitors (HEMs) PMU are used as building blocks process budgeting and verifying software by tracking controlling access counts to shared resources. While number HEMs current MPSoCs reaches hundreds, they read via counters whose usually limited 4-8, thus requiring multiple runs each...
This article is a self-contained introduction to the R package ercv and methodology on which it based through analysis of nine examples.The simple trustworthy for extreme values relates two main existing methodologies.The contains functions visualizing, fitting validating distribution tails.It also provides multiple threshold tests generalized Pareto distribution, together with an automatic selection algorithm.
The use of Land and cover (LULC) data is gradually becoming more widely spread in studies relating the environment to human health. However, little research has acknowledged compositional nature these data. goal present study explore, for first time, independent effect eight LULC categories (agricultural land, bare coniferous forest, broad-leaved sclerophyll grassland shrubs, urban areas, waterbodies) on three selected common health conditions: type 2 diabetes mellitus (T2DM), asthma...
It is well accepted that, at the global scale, Gutenberg-Richter (GR) law describing distribution of earthquake magnitude or seismic moment has to be modified tail properly account for most extreme events. debated, though, how much additional time recording will necessary constrain this tail. Using CMT catalog, we study three modifications GR that incorporate a corner-value parameter are compatible with size largest observed in given window. Current data lead rather large range values (e.g.,...
The increasing automation of safety-critical real-time systems, such as those in cars and planes, leads, to more complex performance-demanding on-board software the subsequent adoption multicores accelerators. This causes software's execution time dispersion increase due variable-latency resources caches, NoCs, advanced memory controllers like. Statistical analysis has been proposed model Worst-Case Execution Time (WCET) running systems by providing reliable probabilistic WCET (pWCET)...