temporal dependence

USAGE SUMMARY

The phrase "temporal dependence" is correct and usable in written English.
It can be used in contexts related to time-related relationships or dependencies, often in fields like statistics, economics, or psychology. Example: "The study revealed a significant temporal dependence between the variables, indicating that past values influence future outcomes."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Subsequent analyses examined whether cases of dependent evolution consisted of mutual or temporal dependence (Additional file 1: Table S8).

BMC Evolutionary Biology

Among the 19 pairs of character states showing dependent evolution, six demonstrated mutual dependence and 13 evidenced temporal dependence (Z-score >70%; Additional file 1: Table S7 and Figure S4).

BMC Evolutionary Biology

The condition of temporal dependence was further tested herein through comparison of flux estimates obtained using time-dependent formulations and a multivariate approach incorporating hydrologic factors.

Journal of Hydrology

Therefore, the temporal dependence needs to be considered.

Journal of Modern Power Systems and Clean Energy

We set the temporal dependence parameter α=0.75.

Journal of Internet Services and Applications

However, they do not possess a universal, straightforward temporal dependence.

Journal of Hydrology

Open image in new window Fig. 3 Data analysis for temporal dependence.

Journal of Modern Power Systems and Clean Energy

The Gaussian model for temporal dependence is first built to analyse the linear dependence.

Journal of Modern Power Systems and Clean Energy

Temporal dependence, as a function of Universal Time (UT), is described by a Fourier expansion.

Journal of Atmospheric and Solar-Terrestrial Physics

Empirical evidence, however, indicates substantial temporal dependence, possibly related to changes in observing conditions.

Computational Statistics & Data Analysis

Temporal dependence indicated the process was diffusion-limited in our cell for both C16O18O and C18O2.

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Expert writing Tips

Best practice

When discussing "temporal dependence", clearly define the time frame and variables involved to ensure clarity and avoid ambiguity. For instance, specify whether you are referring to daily, monthly, or annual dependencies.

Common error

A common mistake is to attribute causality solely based on "temporal dependence" without considering other variables that might influence the observed relationship. Always account for potential confounders through appropriate statistical methods or experimental designs.

Linguistic Context

The phrase "temporal dependence" functions as a noun phrase, denoting a relationship where the value or state of something is related to its past values or states. Ludwig AI shows its frequent use in scientific contexts, as seen in the examples.

Expression frequency: Very common

Frequent in

Science

98%

Formal & Business

1%

News & Media

1%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase "temporal dependence" is a grammatically sound and frequently used term, especially within scientific domains. It signifies a relationship where past events influence current or future states. Ludwig AI confirms its correctness and applicability, highlighting its prevalence in academic and research contexts. When using this phrase, ensure clarity by defining the relevant time frame and considering potential confounding variables to avoid misinterpretations. Utilizing alternative phrases like "time-based dependency" or "dependence over time" can add variety to your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

time-based dependency

Replaces "temporal" with "time-based", emphasizing the role of time.

dependence over time

Reorders the words to highlight the progression across time.

time-series correlation

Focuses specifically on the statistical relationship in time series data.

chronological dependency

Substitutes "temporal" with "chronological", indicating a sequence of events.

sequential relationship

Emphasizes the order in which events or variables are related.

dynamic relationship

Highlights the changing nature of the relationship over time.

intertemporal dependency

Uses "intertemporal" to describe dependence between different points in time.

time-varying dependence

Indicates that the dependence changes with time.

historical contingency

Focuses on how past events influence present or future states.

lagged dependence

Specifies that the dependence involves a time lag between variables.

FAQs

How can "temporal dependence" be modeled in time series data?

Autoregressive Integrated Moving Average (ARIMA) models and other time series models are commonly used to capture and model the "temporal dependence" structure in time series data.

What statistical methods account for "temporal dependence"?

Methods like autoregression, time series analysis, and state-space models are designed to account for "temporal dependence". These methods address the correlation between observations at different points in time.

How does "temporal dependence" affect forecasting?

Temporal dependence means that past values can be predictive of future values. Accurate forecasting requires accounting for these dependencies using appropriate statistical techniques.

What is the difference between "temporal dependence" and causality?

"Temporal dependence" indicates a statistical relationship where one event's timing influences another. Causality implies that one event directly causes another. While "temporal dependence" can suggest causality, further evidence is needed to confirm a causal link.