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	Comments for Aptech	</title>
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	<link>https://www.aptech.com</link>
	<description>GAUSS Software - Fastest Platform for Data Analytics</description>
	<lastBuildDate>Wed, 30 Apr 2025 03:11:27 +0000</lastBuildDate>
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		<title>
		Comment on Making Your GAUSS Plots More Informative: Working with Legends by Eric		</title>
		<link>https://www.aptech.com/blog/making-your-gauss-plots-more-informative-working-with-legends/#comment-2423</link>

		<dc:creator><![CDATA[Eric]]></dc:creator>
		<pubDate>Tue, 25 Feb 2025 18:58:03 +0000</pubDate>
		<guid isPermaLink="false">https://www.aptech.com/?p=11585100#comment-2423</guid>

					<description><![CDATA[Hi! Welcome to GAUSS. 

If you want to make subplots using a grid layout, you can do so using the  &lt;a href=&quot;https://docs.aptech.com/gauss/plotlayout.html&quot; target=&quot;_blank&quot; rel=&quot;noopener nofollow ugc&quot;&gt;plotLayout&lt;/a&gt; function. Our previous blog,  &lt;a href=&quot;https://www.aptech.com/blog/how-to-create-tiled-graphs-in-gauss/&quot; target=&quot;_blank&quot; rel=&quot;noopener ugc&quot;&gt;How to Create Tiled Graphs in GAUSS&lt;/a&gt; is a great resources for learning more about this function.

Alternatively, if you want to add a subplot that overlaps with another plot, for example a plot within a plot, you should use the &lt;a href=&quot;https://docs.aptech.com/gauss/plotcustomlayout.html&quot; target=&quot;_blank&quot; rel=&quot;noopener nofollow ugc&quot;&gt;plotCustomLayout&lt;/a&gt; procedure.

Best,
Eric]]></description>
			<content:encoded><![CDATA[<p>Hi! Welcome to GAUSS. </p>
<p>If you want to make subplots using a grid layout, you can do so using the  <a href="https://docs.aptech.com/gauss/plotlayout.html" target="_blank" rel="noopener nofollow ugc">plotLayout</a> function. Our previous blog,  <a href="https://www.aptech.com/blog/how-to-create-tiled-graphs-in-gauss/" target="_blank" rel="noopener ugc">How to Create Tiled Graphs in GAUSS</a> is a great resources for learning more about this function.</p>
<p>Alternatively, if you want to add a subplot that overlaps with another plot, for example a plot within a plot, you should use the <a href="https://docs.aptech.com/gauss/plotcustomlayout.html" target="_blank" rel="noopener nofollow ugc">plotCustomLayout</a> procedure.</p>
<p>Best,<br />
Eric</p>
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		<title>
		Comment on Making Your GAUSS Plots More Informative: Working with Legends by OTHA		</title>
		<link>https://www.aptech.com/blog/making-your-gauss-plots-more-informative-working-with-legends/#comment-2422</link>

		<dc:creator><![CDATA[OTHA]]></dc:creator>
		<pubDate>Tue, 25 Feb 2025 18:02:07 +0000</pubDate>
		<guid isPermaLink="false">https://www.aptech.com/?p=11585100#comment-2422</guid>

					<description><![CDATA[Thanks Eric, I am new to GAUSS I have been struggling to make graphs. How do I make subplots like in MATLAB?]]></description>
			<content:encoded><![CDATA[<p>Thanks Eric, I am new to GAUSS I have been struggling to make graphs. How do I make subplots like in MATLAB?</p>
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		<title>
		Comment on Why the GLS-unit root test with multiple structural breaks? by Eric		</title>
		<link>https://www.aptech.com/blog/the-changing-trend-in-home-values/#comment-2421</link>

		<dc:creator><![CDATA[Eric]]></dc:creator>
		<pubDate>Mon, 09 Dec 2024 18:10:44 +0000</pubDate>
		<guid isPermaLink="false">https://www.aptech.com/?p=17088#comment-2421</guid>

					<description><![CDATA[In reply to &lt;a href=&quot;https://www.aptech.com/blog/the-changing-trend-in-home-values/#comment-2419&quot;&gt;hduzcu&lt;/a&gt;.

The Carrion-i-Silvestre, Kim, and Perron GLS-unit root test with multiple structural breaks is available in our TSDPLIB library. It provides support for time series unit root testing. The library is available for free with a current license of GAUSS.]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="https://www.aptech.com/blog/the-changing-trend-in-home-values/#comment-2419">hduzcu</a>.</p>
<p>The Carrion-i-Silvestre, Kim, and Perron GLS-unit root test with multiple structural breaks is available in our TSDPLIB library. It provides support for time series unit root testing. The library is available for free with a current license of GAUSS.</p>
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		<title>
		Comment on Why the GLS-unit root test with multiple structural breaks? by hduzcu		</title>
		<link>https://www.aptech.com/blog/the-changing-trend-in-home-values/#comment-2419</link>

		<dc:creator><![CDATA[hduzcu]]></dc:creator>
		<pubDate>Thu, 29 Aug 2024 12:32:27 +0000</pubDate>
		<guid isPermaLink="false">https://www.aptech.com/?p=17088#comment-2419</guid>

					<description><![CDATA[Do you have any codes available for the Carrion-i-Silvestre test for time series? I want to apply this test separately for each series to check for stationarity, but I couldn&#039;t find any codes. Do you happen to have any?]]></description>
			<content:encoded><![CDATA[<p>Do you have any codes available for the Carrion-i-Silvestre test for time series? I want to apply this test separately for each series to check for stationarity, but I couldn't find any codes. Do you happen to have any?</p>
]]></content:encoded>
		
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		<title>
		Comment on The Quantile Autoregressive-Distributed Lag Parameter Estimation and Interpretation in GAUSS by Eric		</title>
		<link>https://www.aptech.com/blog/the-quantile-autoregressive-distributed-lag-parameter-estimation-and-interpretation-in-gauss/#comment-2411</link>

		<dc:creator><![CDATA[Eric]]></dc:creator>
		<pubDate>Fri, 09 Jun 2023 17:41:16 +0000</pubDate>
		<guid isPermaLink="false">https://www.aptech.com/?p=11581791#comment-2411</guid>

					<description><![CDATA[Hi,

Thanks for your comment. To answer your question, yes you can use more than 2 independent variables with the QARDl model. 

There are a few common causes of the G0121: Matrix not positive definite and G0048: Matrix singular error messages. Our blog, &lt;a href=&quot;https://www.aptech.com/blog/diagnosing-a-singular-matrix/&quot;&gt;Diagnosing a singular matrix&lt;/a&gt; offers guidance on how to locate the cause of these errors. 

In addition, a good practice when obtaining these errors is to check for linear dependencies in your data. This can be quickly done using the &lt;a href=&quot;https://docs.aptech.com/gauss/corrmcorrvccorrx.html&quot; rel=&quot;nofollow ugc&quot;&gt;corrx&lt;a&gt; procedure.

Eric]]></description>
			<content:encoded><![CDATA[<p>Hi,</p>
<p>Thanks for your comment. To answer your question, yes you can use more than 2 independent variables with the QARDl model. </p>
<p>There are a few common causes of the G0121: Matrix not positive definite and G0048: Matrix singular error messages. Our blog, <a href="https://www.aptech.com/blog/diagnosing-a-singular-matrix/">Diagnosing a singular matrix</a> offers guidance on how to locate the cause of these errors. </p>
<p>In addition, a good practice when obtaining these errors is to check for linear dependencies in your data. This can be quickly done using the <a href="https://docs.aptech.com/gauss/corrmcorrvccorrx.html" rel="nofollow ugc">corrx</a><a> procedure.</p>
<p>Eric</a></p>
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		<title>
		Comment on The Quantile Autoregressive-Distributed Lag Parameter Estimation and Interpretation in GAUSS by dronalv		</title>
		<link>https://www.aptech.com/blog/the-quantile-autoregressive-distributed-lag-parameter-estimation-and-interpretation-in-gauss/#comment-2404</link>

		<dc:creator><![CDATA[dronalv]]></dc:creator>
		<pubDate>Fri, 02 Jun 2023 05:10:35 +0000</pubDate>
		<guid isPermaLink="false">https://www.aptech.com/?p=11581791#comment-2404</guid>

					<description><![CDATA[Hi Eric, I was wondering if QARDL module let us to process more than 2 independent variables since when I include more than 2 variables, Gauss23 indicates there was a error such as a singular matrix.]]></description>
			<content:encoded><![CDATA[<p>Hi Eric, I was wondering if QARDL module let us to process more than 2 independent variables since when I include more than 2 variables, Gauss23 indicates there was a error such as a singular matrix.</p>
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		<title>
		Comment on Fundamentals of Tuning Machine Learning Hyperparameters by cloudstakes		</title>
		<link>https://www.aptech.com/blog/fundamentals-of-tuning-machine-learning-hyperparameters/#comment-2403</link>

		<dc:creator><![CDATA[cloudstakes]]></dc:creator>
		<pubDate>Wed, 24 May 2023 07:13:52 +0000</pubDate>
		<guid isPermaLink="false">https://www.aptech.com/?p=11583628#comment-2403</guid>

					<description><![CDATA[Thank you for sharing this insightful article on the Fundamentals of Tuning Machine Learning Hyperparameters.]]></description>
			<content:encoded><![CDATA[<p>Thank you for sharing this insightful article on the Fundamentals of Tuning Machine Learning Hyperparameters.</p>
]]></content:encoded>
		
			</item>
		<item>
		<title>
		Comment on The Intuition Behind Impulse Response Functions and Forecast Error Variance Decomposition by Eric		</title>
		<link>https://www.aptech.com/blog/the-intuition-behind-impulse-response-functions-and-forecast-error-variance-decomposition/#comment-2402</link>

		<dc:creator><![CDATA[Eric]]></dc:creator>
		<pubDate>Mon, 15 May 2023 14:26:43 +0000</pubDate>
		<guid isPermaLink="false">https://www.aptech.com/?p=11581293#comment-2402</guid>

					<description><![CDATA[Hello,

Thank you for your comment. I am happy you found the blog helpful!

In regard to your question about the graphs, the graphs are labeled such that the first variable listed is the response variable and the second is the shock variable. For example, the graph titled &quot;Consumption to Income&quot; reflects the response of consumption to the income shock.

Hope this helps!

Best,
Eric]]></description>
			<content:encoded><![CDATA[<p>Hello,</p>
<p>Thank you for your comment. I am happy you found the blog helpful!</p>
<p>In regard to your question about the graphs, the graphs are labeled such that the first variable listed is the response variable and the second is the shock variable. For example, the graph titled "Consumption to Income" reflects the response of consumption to the income shock.</p>
<p>Hope this helps!</p>
<p>Best,<br />
Eric</p>
]]></content:encoded>
		
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		<title>
		Comment on The Intuition Behind Impulse Response Functions and Forecast Error Variance Decomposition by mash		</title>
		<link>https://www.aptech.com/blog/the-intuition-behind-impulse-response-functions-and-forecast-error-variance-decomposition/#comment-2401</link>

		<dc:creator><![CDATA[mash]]></dc:creator>
		<pubDate>Wed, 03 May 2023 09:59:25 +0000</pubDate>
		<guid isPermaLink="false">https://www.aptech.com/?p=11581293#comment-2401</guid>

					<description><![CDATA[These articles are very helpful and well written. Thanks. 

The figures appear mislabeled. The text indicates that these are IRF describing how an income shock affects income, consumption, and investment. They should be labeled INCOME TO … rather than … TO INCOME, no?]]></description>
			<content:encoded><![CDATA[<p>These articles are very helpful and well written. Thanks. </p>
<p>The figures appear mislabeled. The text indicates that these are IRF describing how an income shock affects income, consumption, and investment. They should be labeled INCOME TO … rather than … TO INCOME, no?</p>
]]></content:encoded>
		
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		<title>
		Comment on Introduction to the Fundamentals of Vector Autoregressive Models by Eric		</title>
		<link>https://www.aptech.com/blog/introduction-to-the-fundamentals-of-vector-autoregressive-models/#comment-2400</link>

		<dc:creator><![CDATA[Eric]]></dc:creator>
		<pubDate>Mon, 01 May 2023 16:38:13 +0000</pubDate>
		<guid isPermaLink="false">https://www.aptech.com/?p=11581178#comment-2400</guid>

					<description><![CDATA[In reply to &lt;a href=&quot;https://www.aptech.com/blog/introduction-to-the-fundamentals-of-vector-autoregressive-models/#comment-2399&quot;&gt;kenyonl&lt;/a&gt;.

Thank you for the positive feedback! I am happy to hear that you found it helpful.]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="https://www.aptech.com/blog/introduction-to-the-fundamentals-of-vector-autoregressive-models/#comment-2399">kenyonl</a>.</p>
<p>Thank you for the positive feedback! I am happy to hear that you found it helpful.</p>
]]></content:encoded>
		
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