Results 111 to 120 of about 166 (161)

Robust CDF‐Filtering of a Location Parameter

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania, Andrew C. Harvey, Alessandra Luati   +2 more
wiley   +1 more source

Further <i>N</i>-Frame networking dynamics of conscious observer-self agents via a functional contextual interface: predictive coding, double-slit quantum mechanical experiment, and decision-making fallacy modeling as applied to the measurement problem in humans and AI. [PDF]

Front Comput Neurosci
Edwards DJ.
europepmc   +1 more source

Detecting Periodicity of a General Stationary Time Series via AR(2)‐Model Fitting

Journal of Time Series Analysis, EarlyView.
ABSTRACT Estimating the periodicity of a stationary time series via fitting a second‐order stationary autoregressive (AR(2)) model has been initiated by the seminal paper of Yule (1927). We investigate properties of this procedure when applied to general stationary processes possessing a spectral density with a dominant peak at some unknown frequency ...
Jens‐Peter Kreiss, Panagiotis Maouris, Efstathios Paparoditis   +2 more
wiley   +1 more source

Measure‐valued processes for energy markets

Mathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero, Luca Di Persio, Francesco Guida, Sara Svaluto‐Ferro   +3 more
wiley   +1 more source

Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach

Mathematical Finance, EarlyView.
ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović, Pavel V. Shevchenko, Tomoko Matsui, Daisuke Murakami, Tor A. Myrvoll   +4 more
wiley   +1 more source

Too Much Finance: Mechanisms That Harm Growth and Policy Implications

The Manchester School, EarlyView.
ABSTRACT The mechanisms for the financial sector to harm growth arise through short‐termism of financial markets. This leads to the misallocation of resources in the private sector, leading to financial crises and damage to growth. However, harm to growth comes not only from financial crises, but also from the failure of short‐termist financial markets
Arup Daripa, Sandeep Kapur, Marco Pelliccia   +2 more
wiley   +1 more source

Tax Progressivity, Public Debt, and Growth in a Neo‐Kaleckian Model

Metroeconomica, EarlyView.
ABSTRACT We develop a neo‐Kaleckian growth‐and‐distribution model featuring two classes of workers and a progressive income tax. Two fiscal closures are considered: balanced budgets and deficit financing via public debt. We study the responses to shocks, including changes in functional income distribution, and assess how tax progressivity alters demand
Tailiny Ventura, Fabrício J. Missio, Júlio Fernando Costa Santos   +2 more
wiley   +1 more source

Is A Little Learning Dangerous?

Noûs, EarlyView.
ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley   +1 more source

Weak Exogeneity, Driving Trends and Non‐Causality. Is Dynamic Adjustment Informative About Causality?

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT In VECMs (or CVARs), the weak exogeneity of some of the variables (for the long‐run parameters) is related to the equilibrium adjustment dynamics. This has sometimes led to the statistical concept of weak exogeneity being given a causal interpretation.
Emanuele Lopetuso, Michael P. Clements
wiley   +1 more source

Laws and Reasons Why

Analytic Philosophy, EarlyView.
ABSTRACT Laws play some role in explanations: at the very least, they somehow connect what is explained, or the explanandum, to what explains, or the explanans. Thus, thermodynamical laws connect the match's being struck and its lightning, so that the former causes the latter; and laws about set formation connect Socrates' existence with {Socrates}'s ...
Julio De Rizzo
wiley   +1 more source