Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension | Paper Citation Record

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This paper cites Planck 2018 results. VI. Cosmological parameters.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Planck 2018 results. VI. Cosmological parameters

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This paper cites The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological Implications from two Decades of Spectroscopic Surveys at the Apache Point observatory.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological Implications from two Decades of Spectroscopic Surveys at the Apache Point observatory

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension DESI DR2 Results II: Measurements of Baryon Acoustic Oscillations and Cosmological Constraints

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Unresolved cited work

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Measurements of Omega and Lambda from 42 High-Redshift Supernovae

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This paper cites Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Weinberg, The Cosmological Constant Problem, Rev

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Quintessence, Cosmic Coincidence, and the Cosmological Constant

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Beyond the Cosmological Standard Model

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Cosmology Intertwined III: $f \sigma_8$ and $S_8$

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension In the Realm of the Hubble tension $-$ a Review of Solutions

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Tale of stable interacting dark energy, observational signatures, and the $H_0$ tension

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension A Comprehensive Measurement of the Local Value of the Hubble Constant with 1 km/s/Mpc Uncertainty from the Hubble Space Telescope and the SH0ES Team

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This paper cites H0LiCOW XIII. A 2.4% measurement of $H_{0}$ from lensed quasars: $5.3\sigma$ tension between early and late-Universe probes.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension H0LiCOW XIII. A 2.4% measurement of $H_{0}$ from lensed quasars: $5.3\sigma$ tension between early and late-Universe probes

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This paper cites Cosmology Intertwined: A Review of the Particle Physics, Astrophysics, and Cosmology Associated with the Cosmological Tensions and Anomalies.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Cosmology Intertwined: A Review of the Particle Physics, Astrophysics, and Cosmology Associated with the Cosmological Tensions and Anomalies

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension f(R) Theories Of Gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension A f(R) gravity without cosmological constant

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension f(R) Gravity and scalar-tensor theory

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension f(R,T) gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Reexamining $f(R,T)$ gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Dynamics of scalar perturbations in f(R,T) gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Gauss-Bonnet dark energy

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Construction of cosmologically viable f(G) gravity models

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Lovelock, The Einstein tensor and its generalizations, J

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Horndeski theory and beyond: a review

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension f(T) teleparallel gravity and cosmology

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Cosmological Solutions of $f(T)$ Gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension $f(T,\mathcal{T})$ gravity and cosmology

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Stability analysis for cosmological models in $f(T,B)$ gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Generalised nonminimally gravity-matter coupled theory

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Scalar-torsion theories of gravity I: general formalism and conformal transformations

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Symmetric teleparallel general relativity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Lagrange formulation of the symmetric teleparallel gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Review on $f(Q)$ Gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Coincident General Relativity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Observational constraints of $f(Q)$ gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Cosmography in $f(Q)$ gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Covariant formulation of f(Q) theory

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This paper cites On the impact of $f(Q)$ gravity on the Large Scale Structure.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension On the impact of $f(Q)$ gravity on the Large Scale Structure

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Metric-Affine Gauge Theory of Gravity: Field Equations, Noether Identities, World Spinors, and Breaking of Dilation Invariance

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Crossing phantom divide in $f(Q)$ gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Black holes in $f(\mathbb Q)$ Gravity

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This paper cites Constraining $f(Q,T)$ gravity from energy conditions.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Constraining $f(Q,T)$ gravity from energy conditions

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension $f(Q,T)$ gravity models with observational constraints

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Cosmological Perturbation Theory in $f(Q,T)$ Gravity

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This paper cites Geodesic deviation, Raychaudhuri equation, Newtonian limit, and tidal forces in Weyl-type $f(Q,T)$ gravity.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Geodesic deviation, Raychaudhuri equation, Newtonian limit, and tidal forces in Weyl-type $f(Q,T)$ gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Covariant conservation of energy momentum in modified gravities

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Extra force in $f(R)$ modified theories of gravity

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This paper cites Brane-world and loop cosmology from a gravity-matter coupling perspective.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Brane-world and loop cosmology from a gravity-matter coupling perspective

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension f(R,L_m) gravity

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Coupling matter in modified $Q$-gravity

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This paper cites Cosmology in symmetric teleparallel gravity and its dynamical system.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Cosmology in symmetric teleparallel gravity and its dynamical system

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Hazarika, S

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Teleparallel Palatini theories

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Eppur \`e piatto? The cosmic chronometer take on spatial curvature and cosmic concordance

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Constraining Cosmological Parameters Based on Relative Galaxy Ages

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Raising the bar: new constraints on the Hubble parameter with cosmic chronometers at z$\sim$2

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Unresolved cited work

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Union Through UNITY: Cosmology with 2,000 SNe Using a Unified Bayesian Framework

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension The Dark Energy Spectroscopic Instrument (DESI)

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension First Detection of the BAO Signal from Early DESI Data

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension emcee: The MCMC Hammer

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension GetDist: a Python package for analysing Monte Carlo samples

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Akaike, A new look at the statistical model identification, IEEE Trans

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Schwarz, Estimating the Dimension of a Model, Annals Statist.6, 461 (1978)

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This paper cites Quantifying USA tariffs effect: machine learning, entropy and fractal insights into the stock markets.

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Quantifying USA tariffs effect: machine learning, entropy and fractal insights into the stock markets

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Cat ´e, L

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension An approach to cold dark matter deviation and the $H_{0}$ tension problem by using machine learning

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Hints of dark energy anisotropic stress using Machine Learning

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Unresolved cited work

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Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension Unresolved cited work

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